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Venues (Conferences, Journals, ...)
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GrowBag graphs for keyword ? (Num. hits/coverage)
Group by:
The graphs summarize 1135 occurrences of 835 keywords
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Results
Found 7611 publication records. Showing 7556 according to the selection in the facets
Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
104 | Alan Hebert, Allan Chen |
A new collaborative software package: TeamSpace at Stanford University. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SIGUCCS ![In: Proceedings of the 33rd Annual ACM SIGUCCS Conference on User Services 2005, Monterey, CA, USA, November 6-9, 2005, pp. 109-112, 2005, ACM, 1-59593-200-3. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
Stanford University, Stanford University Libraries, TeamSpace, TeamSpot, collaboration, computing, team |
71 | Uri Nodelman, Colin Allen, Edward N. Zalta |
Stanford encyclopedia of philosophy: a dynamic reference work. ![Search on Bibsonomy](Pics/bibsonomy.png) |
JCDL ![In: ACM/IEEE Joint Conference on Digital Libraries, JCDL 2002, Portland, Oregon, USA, June 14-18, 2002, Proceedings, pp. 380, 2002, ACM, 1-58113-513-0. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
|
69 | Rasmus Kleis Nielsen |
Review Article: Uneven accelerations: John Tomlinson, The Culture of Speed: The Coming of Immediacy. Thousand Oaks, CA: Sage, 2007, 180 pp. ISBN 9781412912037, $39.95 (pbk) José van Dijck, Mediated Memories in the Digital Age. Stanford, CA: Stanford University Press, 2007, 232 + xviii pp. ISBN 0804756244, $21.95 (pbk) Robert Hassan and Ronald E. Purser (eds), 24/7: Time and Temporarily in the Network Society. Stanford, CA: Stanford Business Books, 2007, 284 + xvii pp. ISBN 0804751978, $29.95 (pbk). ![Search on Bibsonomy](Pics/bibsonomy.png) |
New Media Soc. ![In: New Media Soc. 11(1-2), pp. 299-306, 2009. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
|
55 | C. Stewart Gillmor |
Stanford, the IBM 650, and the First Trials of Computer Date Matching. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Ann. Hist. Comput. ![In: IEEE Ann. Hist. Comput. 29(1), pp. 74-80, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
Stanford, IBM 650, computer date matching, student life, history, humor |
52 | James Jacobs |
LOCKSS-USDOCS Program. Managed by Stanford University Libraries, 1450 Page Mill Road, Stanford, CA 94305. Retrieved September 06, 2011 from http: //lockss-usdocs.stanford.edu. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Gov. Inf. Q. ![In: Gov. Inf. Q. 29(3), pp. 436-437, 2012. The full citation details ...](Pics/full.jpeg) |
2012 |
DBLP DOI BibTeX RDF |
|
50 | Martin Röscheisen, Michelle Q. Wang Baldonado, Kevin Chen-Chuan Chang, Luis Gravano, Steven P. Ketchpel, Andreas Paepcke |
The Stanford InfoBus and Its Service Layers: Augmenting the Internet with High-Level Information Management Protocols. ![Search on Bibsonomy](Pics/bibsonomy.png) |
The MeDoc Approach ![In: Digital Libraries in Computer Science: The MeDoc Approach, pp. 213-230, 1998, Springer, 3-540-64493-8. The full citation details ...](Pics/full.jpeg) |
1998 |
DBLP DOI BibTeX RDF |
|
43 | Hector Garcia-Molina |
Pair-Wise entity resolution: overview and challenges. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CIKM ![In: Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, Arlington, Virginia, USA, November 6-11, 2006, pp. 1, 2006, ACM, 1-59593-433-2. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
data cleaning, entity resolution |
43 | Tim Leamy, Rob Smith, Allan Chen |
BITS based imaging process. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SIGUCCS ![In: Proceedings of the 34th Annual ACM SIGUCCS Conference on User Services 2006, Edmonton, Alberta, Canada, November 5-8, 2006, pp. 191-195, 2006, ACM, 1-59593-438-3. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
imaging, windows, software management, ghost |
39 | Edward N. Zalta, Colin Allen, Uri Nodelman |
Stanford encyclopedia of philosophy: a dynamic reference work. ![Search on Bibsonomy](Pics/bibsonomy.png) |
JCDL ![In: ACM/IEEE Joint Conference on Digital Libraries, JCDL 2001, Roanoke, Virginia, USA, June 24-28, 2001, Proceedings, pp. 457, 2001, ACM, 1-58113-345-6. The full citation details ...](Pics/full.jpeg) |
2001 |
DBLP DOI BibTeX RDF |
|
39 | Tak W. Yan, Hector Garcia-Molina |
Information Finding in a Digital Library: The Stanford Perspective. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SIGMOD Rec. ![In: SIGMOD Rec. 24(3), pp. 62-70, 1995. The full citation details ...](Pics/full.jpeg) |
1995 |
DBLP DOI BibTeX RDF |
|
39 | Eric Roberts, John Lilly, Bryan Rollins |
Using undergraduates as teaching assistants in introductory programming courses: an update on the Stanford experience. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SIGCSE ![In: Proceedings of the 26th SIGCSE Technical Symposium on Computer Science Education, SIGCSE 1995, Nashville, Tennessee, USA, March 2-4, 1995, pp. 48-52, 1995, ACM, 0-89791-693-X. The full citation details ...](Pics/full.jpeg) |
1995 |
DBLP DOI BibTeX RDF |
|
38 | R. Saravanan 0002, S. Ramabalan |
Evolutionary Minimum Cost Trajectory Planning for Industrial Robots. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Intell. Robotic Syst. ![In: J. Intell. Robotic Syst. 52(1), pp. 45-77, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Optimal cost trajectory planning, STANFORD robot, Two link planar robot, Pick and place operation, Evolutionary techniques - NSGA-II, Obstacle avoidance, DE |
35 | A. David Wunsch |
Good Pictures: A History of Popular Photography - Kim Bell (Stanford, CA, USA: Stanford Univ. Press, 2020, 323 pp.). ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Technol. Soc. Mag. ![In: IEEE Technol. Soc. Mag. 41(4), pp. 12-15, 2022. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP DOI BibTeX RDF |
|
35 | Roya Firoozi, Negar Mehr, Esen Yel, Rika Antonova, Jeannette Bohg, Mac Schwager, Mykel J. Kochenderfer (eds.) |
Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![PMLR The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
|
35 | Lukas Brunke, Siqi Zhou, Angela P. Schoellig |
Barrier Bayesian Linear Regression: Online Learning of Control Barrier Conditions for Safety-Critical Control of Uncertain Systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 881-892, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
|
35 | Saber Jafarpour, Matthew Abate, Alexander Davydov 0001, Francesco Bullo, Samuel Coogan 0001 |
Robustness Certificates for Implicit Neural Networks: A Mixed Monotone Contractive Approach. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 917-930, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
|
35 | Zhigen Zhao, Simiao Zuo, Tuo Zhao, Ye Zhao 0002 |
Adversarially Regularized Policy Learning Guided by Trajectory Optimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 844-857, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
|
35 | Jose Luis Vazquez Espinoza, Alexander Liniger, Wilko Schwarting, Daniela Rus, Luc Van Gool |
Deep Interactive Motion Prediction and Planning: Playing Games with Motion Prediction Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 1006-1019, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
|
35 | Rameez Wajid, Asad Ullah Awan, Majid Zamani 0001 |
Formal Synthesis of Safety Controllers for Unknown Stochastic Control Systems using Gaussian Process Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 624-636, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
|
35 | Riccardo Valperga, Kevin Webster, Dmitry Turaev, Victoria Klein, Jeroen S. W. Lamb |
Learning Reversible Symplectic Dynamics. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 906-916, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
|
35 | Nima Eshraghi, Ben Liang 0001 |
Improving Dynamic Regret in Distributed Online Mirror Descent Using Primal and Dual Information. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 637-649, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
|
35 | Ross Drummond, Stephen Duncan, Mathew Turner, Patricia Pauli, Frank Allgöwer |
Bounding the Difference Between Model Predictive Control and Neural Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 817-829, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
|
35 | Julian Viereck, Avadesh Meduri, Ludovic Righetti |
ValueNetQP: Learned One-step Optimal Control for Legged Locomotion. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 931-942, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
|
35 | Yuda Song 0001, Ye Yuan 0007, Wen Sun 0002, Kris Kitani |
Online No-regret Model-Based Meta RL for Personalized Navigation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 166-179, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
|
35 | Ryan K. Cosner, Maegan Tucker, Andrew J. Taylor, Kejun Li, Tamás G. Molnár, Wyatt Ubellacker, Anil Alan, Gábor Orosz, Yisong Yue, Aaron D. Ames |
Safety-Aware Preference-Based Learning for Safety-Critical Control. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 1020-1033, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
|
35 | Ivan Dario Jimenez Rodriguez, Noel Csomay-Shanklin, Yisong Yue, Aaron D. Ames |
Neural Gaits: Learning Bipedal Locomotion via Control Barrier Functions and Zero Dynamics Policies. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 1060-1072, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
|
35 | Gautam Goel, Babak Hassibi |
Online Estimation and Control with Optimal Pathlength Regret. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 404-414, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
|
35 | Adam J. Thorpe, Thomas Lew, Meeko Oishi, Marco Pavone 0001 |
Data-Driven Chance Constrained Control using Kernel Distribution Embeddings. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 790-802, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
|
35 | Thinh T. Doan 0001 |
Convergence Rates of Two-Time-Scale Gradient Descent-Ascent Dynamics for Solving Nonconvex Min-Max Problems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 192-206, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
|
35 | Yuanhanqing Huang, Jianghai Hu |
Distributed Stochastic Nash Equilibrium Learning in Locally Coupled Network Games with Unknown Parameters. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 342-354, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
|
35 | Yifeng Jiang 0002, Jiazheng Sun, C. Karen Liu |
Data-Augmented Contact Model for Rigid Body Simulation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 378-390, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
|
35 | Samuel Pfrommer, Tanmay Gautam, Alec Zhou, Somayeh Sojoudi |
Safe Reinforcement Learning with Chance-constrained Model Predictive Control. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 291-303, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
|
35 | Han Wang 0016, James Anderson 0001 |
Learning Linear Models Using Distributed Iterative Hessian Sketching. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 427-440, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
|
35 | Muhammed O. Sayin, K. Alperen Cetiner |
On the Heterogeneity of Independent Learning Dynamics in Zero-sum Stochastic Games. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 994-1005, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
|
35 | Shagun Sodhani, Franziska Meier, Joelle Pineau, Amy Zhang 0001 |
Block Contextual MDPs for Continual Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 608-623, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
|
35 | Anirudh Vemula, Wen Sun 0002, Maxim Likhachev, J. Andrew Bagnell |
On the Effectiveness of Iterative Learning Control. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 47-58, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
|
35 | Abhishek Cauligi, Ankush Chakrabarty, Stefano Di Cairano, Rien Quirynen |
PRISM: Recurrent Neural Networks and Presolve Methods for Fast Mixed-integer Optimal Control. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 34-46, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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35 | Franck Djeumou, Cyrus Neary, Eric Goubault, Sylvie Putot, Ufuk Topcu |
Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 263-277, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
|
35 | Udaya Ghai, Xinyi Chen, Elad Hazan, Alexandre Megretski |
Robust Online Control with Model Misspecification. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 1163-1175, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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35 | Raghu Arghal, Eric Lei, Shirin Saeedi Bidokhti |
Robust Graph Neural Networks via Probabilistic Lipschitz Constraints. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 1073-1085, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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35 | Alan Yang, Jie Xiong, Maxim Raginsky, Elyse Rosenbaum |
Input-to-State Stable Neural Ordinary Differential Equations with Applications to Transient Modeling of Circuits. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 663-675, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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35 | Ting-Han Fan, Xian Yeow Lee, Yubo Wang |
PowerGym: A Reinforcement Learning Environment for Volt-Var Control in Power Distribution Systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 21-33, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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35 | Thomas Lew, Lucas Janson, Riccardo Bonalli, Marco Pavone 0001 |
A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 1086-1099, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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35 | Ningyuan Zhang, Wenliang Liu, Calin Belta |
Distributed Control using Reinforcement Learning with Temporal-Logic-Based Reward Shaping. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 751-762, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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35 | Jan Brüdigam, Martin Schuck, Alexandre Capone, Stefan Sosnowski, Sandra Hirche |
Structure-Preserving Learning Using Gaussian Processes and Variational Integrators. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 1150-1162, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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35 | Harish S. Bhat, Kevin Collins, Prachi Gupta, Christine M. Isborn |
Dynamic Learning of Correlation Potentials for a Time-Dependent Kohn-Sham System. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 546-558, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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35 | Rel Guzman Apaza, Rafael Oliveira 0001, Fabio Ramos 0001 |
Adaptive Model Predictive Control by Learning Classifiers. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 480-491, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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35 | Haitong Ma, Changliu Liu, Shengbo Eben Li, Sifa Zheng, Jianyu Chen |
Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 97-109, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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35 | Horia Mania, Ali Jadbabaie, Devavrat Shah, Suvrit Sra |
Time Varying Regression with Hidden Linear Dynamics. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 858-869, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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35 | Yuchen Cui, Scott Niekum, Abhinav Gupta 0001, Vikash Kumar, Aravind Rajeswaran |
Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation? ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 893-905, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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35 | Santiago Sanchez-Escalonilla Plaza, Rodolfo Reyes-Báez, Bayu Jayawardhana |
Total Energy Shaping with Neural Interconnection and Damping Assignment - Passivity Based Control. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 520-531, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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35 | Agustin Castellano, Hancheng Min, Enrique Mallada, Juan Andrés Bazerque |
Reinforcement Learning with Almost Sure Constraints. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 559-570, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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35 | Milad Farsi, Yinan Li 0001, Ye Yuan, Jun Liu 0015 |
A Piecewise Learning Framework for Control of Unknown Nonlinear Systems with Stability Guarantees. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 830-843, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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35 | Zhe Du, Necmiye Ozay, Laura Balzano |
Clustering-based Mode Reduction for Markov Jump Systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 689-701, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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35 | Steven D. Morad, Stephan Liwicki, Ryan Kortvelesy, Roberto Mecca, Amanda Prorok |
Modeling Partially Observable Systems using Graph-Based Memory and Topological Priors. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 59-73, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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35 | Yifei Zhang, Sourav Kumar Ukil, Ephraim Neimand, Serban Sabau, Myron E. Hohil |
Sample Complexity of the Robust LQG Regulator with Coprime Factors Uncertainty. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 943-953, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
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35 | Ryan Sander, Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Sertac Karaman, Daniela Rus |
Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 954-967, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
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35 | Samuel Low, Mykel J. Kochenderfer |
Optimal Pointing Sequences in Spacecraft Formation Flying Using Online Planning with Resource Constraints. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 355-365, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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35 | Ameneh Nejati, Bingzhuo Zhong, Marco Caccamo, Majid Zamani 0001 |
Data-Driven Controller Synthesis of Unknown Nonlinear Polynomial Systems via Control Barrier Certificates. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 763-776, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
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35 | Vittorio Caggiano, Huawei Wang 0003, Guillaume Durandau, Massimo Sartori, Vikash Kumar |
MyoSuite: A Contact-rich Simulation Suite for Musculoskeletal Motor Control. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 492-507, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
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35 | Ali Salamati, Majid Zamani 0001 |
Data-Driven Safety Verification of Stochastic Systems via Barrier Certificates: A Wait-and-Judge Approach. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 441-452, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
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35 | Thomas T. C. K. Zhang, Stephen Tu, Nicholas M. Boffi, Jean-Jacques E. Slotine, Nikolai Matni |
Adversarially Robust Stability Certificates can be Sample-Efficient. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 532-545, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
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35 | Henk van Waarde, Rodolphe Sepulchre |
Training Lipschitz Continuous Operators Using Reproducing Kernels. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 221-233, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
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35 | Zihao Zhou, Xingyi Yang, Ryan A. Rossi, Handong Zhao, Rose Yu |
Neural Point Process for Learning Spatiotemporal Event Dynamics. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 777-789, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
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35 | Saul Santos, Monica Ekal, Rodrigo M. M. Ventura |
Symplectic Momentum Neural Networks - Using Discrete Variational Mechanics as a prior in Deep Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 584-595, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
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35 | Daniel Gurevich, Debdipta Goswami, Charles L. Fefferman, Clarence W. Rowley |
Optimal Control with Learning on the Fly: System with Unknown Drift. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 870-880, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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35 | Brett Thomas Lopez, Jean-Jacques E. Slotine |
Adaptive Variants of Optimal Feedback Policies. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 1125-1136, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
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35 | Suhail Alsalehi, Erfan Aasi, Ron Weiss, Calin Belta |
Learning Spatio-Temporal Specifications for Dynamical Systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 968-980, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
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35 | Samarth Sinha, Jiaming Song, Animesh Garg, Stefano Ermon |
Experience Replay with Likelihood-free Importance Weights. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 110-123, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
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35 | Liliaokeawawa Cothren, Gianluca Bianchin, Emiliano Dall'Anese |
Data-Enabled Gradient Flow as Feedback Controller: Regulation of Linear Dynamical Systems to Minimizers of Unknown Functions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 234-247, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
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35 | Bibit Bianchini, Mathew Halm, Nikolai Matni, Michael Posa |
Generalization Bounded Implicit Learning of Nearly Discontinuous Functions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 1112-1124, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
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35 | Cameron R. Wolfe, Anastasios Kyrillidis |
i-SpaSP: Structured Neural Pruning via Sparse Signal Recovery. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 248-262, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
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35 | Benjamin Gravell, Iman Shames, Tyler H. Summers |
Robust Data-Driven Output Feedback Control via Bootstrapped Multiplicative Noise. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 650-662, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
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35 | Brendon G. Anderson, Somayeh Sojoudi |
Certified Robustness via Locally Biased Randomized Smoothing. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 207-220, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
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35 | Andrea Martin, Luca Furieri, Florian Dörfler, John Lygeros, Giancarlo Ferrari-Trecate |
Safe Control with Minimal Regret. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 726-738, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
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35 | Stephen Tu, Alexander Robey, Tingnan Zhang, Nikolai Matni |
On the Sample Complexity of Stability Constrained Imitation Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 180-191, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
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35 | Ce Xu Zheng, Adrià Colomé, Luis Sentis, Carme Torras |
Mixtures of Controlled Gaussian Processes for Dynamical Modeling of Deformable Objects. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 415-426, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
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35 | Zhichao Li, Thai P. Duong, Nikolay Atanasov 0001 |
Safe Autonomous Navigation for Systems with Learned SE(3) Hamiltonian Dynamics. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 981-993, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
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35 | Marcos M. Vasconcelos |
Learning Distributed Channel Access Policies for Networked Estimation: Data-driven Optimization in the Mean-field Regime. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 702-712, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
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35 | Miguel Jaques, Martin Asenov, Michael Burke, Timothy M. Hospedales |
Vision-based System Identification and 3D Keypoint Discovery using Dynamics Constraints. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 316-329, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
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35 | Charis J. Stamouli, Anastasios Tsiamis, Manfred Morari, George J. Pappas |
Adaptive Stochastic MPC under Unknown Noise Distribution. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 596-607, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
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35 | Olle Kjellqvist, Anders Rantzer |
Learning-Enabled Robust Control with Noisy Measurements. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 86-96, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
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35 | Wanxin Jin, Alp Aydinoglu, Mathew Halm, Michael Posa |
Learning Linear Complementarity Systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 1137-1149, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
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35 | Junhyung Lyle Kim, Panos Toulis, Anastasios Kyrillidis |
Convergence and Stability of the Stochastic Proximal Point Algorithm with Momentum. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 1034-1047, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
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35 | Feiran Zhao, Xingchen Li, Keyou You |
Data-driven Control of Unknown Linear Systems via Quantized Feedback. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 467-479, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
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35 | Siliang Zeng, Tianyi Chen, Alfredo Garcia, Mingyi Hong |
Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 278-290, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
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35 | Franck Djeumou, Ufuk Topcu |
Learning to Reach, Swim, Walk and Fly in One Trial: Data-Driven Control with Scarce Data and Side Information. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 453-466, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
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35 | Nicola Bastianello, Andrea Simonetto, Emiliano Dall'Anese |
OpReg-Boost: Learning to Accelerate Online Algorithms with Operator Regression. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 138-152, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
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35 | Daniel Jung 0002 |
Automated Design of Grey-Box Recurrent Neural Networks For Fault Diagnosis using Structural Models and Causal Information. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 8-20, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
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35 | Yansong Li, Shuo Han 0002 |
Accelerating Model-Free Policy Optimization Using Model-Based Gradient: A Composite Optimization Perspective. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 304-315, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
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35 | Amir Khazraei, Henry D. Pfister, Miroslav Pajic |
Resiliency of Perception-Based Controllers Against Attacks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 713-725, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
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35 | Krista Longi, Jakob Lindinger, Olaf Duennbier, Melih Kandemir, Arto Klami, Barbara Rakitsch |
Traversing Time with Multi-Resolution Gaussian Process State-Space Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 366-377, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
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35 | |
Preface. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 1-7, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
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35 | Baris Kayalibay, Atanas Mirchev, Patrick van der Smagt, Justin Bayer |
Tracking and Planning with Spatial World Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 124-137, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
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35 | Tianhao Wei, Changliu Liu |
Safe Control with Neural Network Dynamic Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 739-750, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
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35 | Rahul Singh 0002, Keuntaek Lee, Yongxin Chen |
Sample-based Distributional Policy Gradient. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 676-688, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
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35 | Simon Muntwiler, Kim Peter Wabersich, Melanie N. Zeilinger |
Learning-based Moving Horizon Estimation through Differentiable Convex Optimization Layers. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 153-165, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
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35 | Jingrong Wang, Ben Liang 0001 |
Gradient and Projection Free Distributed Online Min-Max Resource Optimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 391-403, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
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35 | Francesco De Lellis, Marco Coraggio, Giovanni Russo 0002, Mirco Musolesi, Mario di Bernardo |
Control-Tutored Reinforcement Learning: Towards the Integration of Data-Driven and Model-Based Control. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 1048-1059, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
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35 | Felipe Galarza-Jimenez, Jorge Poveda, Emiliano Dall'Anese |
Sliding-Seeking Control: Model-Free Optimization with Safety Constraints. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA., pp. 1100-1111, 2022, PMLR. The full citation details ...](Pics/full.jpeg) |
2022 |
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