Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
1 | Deepan Muthirayan, Chinmay Maheshwari, Pramod P. Khargonekar, Shankar S. Sastry |
Competing Bandits in Time Varying Matching Markets. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2023, 15-16 June 2023, Philadelphia, PA, USA., pp. 1020-1031, 2023, PMLR. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
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1 | Tianqi Cui, Thomas Bertalan, George J. Pappas, Manfred Morari, Yannis G. Kevrekidis, Mahyar Fazlyab |
Certified Invertibility in Neural Networks via Mixed-Integer Programming. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2023, 15-16 June 2023, Philadelphia, PA, USA., pp. 483-496, 2023, PMLR. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
|
1 | Taha Entesari, Mahyar Fazlyab |
Automated Reachability Analysis of Neural Network-Controlled Systems via Adaptive Polytopes. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2023, 15-16 June 2023, Philadelphia, PA, USA., pp. 407-419, 2023, PMLR. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
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1 | Xiaobing Dai, Armin Lederer, Zewen Yang, Sandra Hirche |
Can Learning Deteriorate Control? Analyzing Computational Delays in Gaussian Process-Based Event-Triggered Online Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2023, 15-16 June 2023, Philadelphia, PA, USA., pp. 445-457, 2023, PMLR. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
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1 | Karthik Elamvazhuthi, Xuechen Zhang 0002, Samet Oymak, Fabio Pasqualetti |
Learning on Manifolds: Universal Approximations Properties using Geometric Controllability Conditions for Neural ODEs. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2023, 15-16 June 2023, Philadelphia, PA, USA., pp. 1-11, 2023, PMLR. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
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1 | Francesco De Lellis, Marco Coraggio, Giovanni Russo 0002, Mirco Musolesi, Mario di Bernardo |
CT-DQN: Control-Tutored Deep Reinforcement Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2023, 15-16 June 2023, Philadelphia, PA, USA., pp. 941-953, 2023, PMLR. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
|
1 | Valentin Duruisseaux, Thai P. Duong, Melvin Leok, Nikolay Atanasov 0001 |
Lie Group Forced Variational Integrator Networks for Learning and Control of Robot Systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2023, 15-16 June 2023, Philadelphia, PA, USA., pp. 731-744, 2023, PMLR. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
|
1 | Baris Kayalibay, Atanas Mirchev, Ahmed Agha, Patrick van der Smagt, Justin Bayer |
Filter-Aware Model-Predictive Control. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2023, 15-16 June 2023, Philadelphia, PA, USA., pp. 1441-1454, 2023, PMLR. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
|
1 | Hengquan Guo, Zhu Qi, Xin Liu 0049 |
Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-armed Bandit with Constraints. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2023, 15-16 June 2023, Philadelphia, PA, USA., pp. 1333-1344, 2023, PMLR. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
|
1 | Xunbi A. Ji, Gábor Orosz |
Learning the dynamics of autonomous nonlinear delay systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2023, 15-16 June 2023, Philadelphia, PA, USA., pp. 116-127, 2023, PMLR. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
|
1 | Joshua Pilipovsky, Vignesh Sivaramakrishnan, Meeko Oishi, Panagiotis Tsiotras |
Probabilistic Verification of ReLU Neural Networks via Characteristic Functions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2023, 15-16 June 2023, Philadelphia, PA, USA., pp. 966-979, 2023, PMLR. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
|
1 | Pengzhi Yang, Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov 0001 |
Policy Learning for Active Target Tracking over Continuous SE(3) Trajectories. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2023, 15-16 June 2023, Philadelphia, PA, USA., pp. 64-75, 2023, PMLR. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
|
1 | Rishi Rani, Massimo Franceschetti |
Detection of Man-in-the-Middle Attacks in Model-Free Reinforcement Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2023, 15-16 June 2023, Philadelphia, PA, USA., pp. 993-1007, 2023, PMLR. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
|
1 | Adithya Ramesh, Balaraman Ravindran |
Physics-Informed Model-Based Reinforcement Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2023, 15-16 June 2023, Philadelphia, PA, USA., pp. 26-37, 2023, PMLR. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
|
1 | Yecheng Jason Ma, Kausik Sivakumar, Jason Yan, Osbert Bastani, Dinesh Jayaraman |
Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching. ![Search on Bibsonomy](Pics/bibsonomy.png) |
L4DC ![In: Learning for Dynamics and Control Conference, L4DC 2023, 15-16 June 2023, Philadelphia, PA, USA., pp. 259-271, 2023, PMLR. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
|
1 | 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 |
|
1 | 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 |
|
1 | 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 |
|
1 | 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 |
|
1 | 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 |
|
1 | 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 |
|
1 | 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 |
|
1 | 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 |
|
1 | 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 |
|
1 | 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 |
|
1 | 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 |
|
1 | 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 |
|
1 | 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 |
|
1 | 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 |
|
1 | 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 |
|
1 | 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 |
|
1 | 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 |
|
1 | 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 |
|
1 | 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 |
|
1 | 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 |
|
1 | 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 |
|
1 | 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 |
|
1 | 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 |
|
1 | 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 |
|
1 | 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 |
|
1 | 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 |
|
1 | 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 |
|
1 | 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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1 | 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 |
|
1 | 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 |
|
1 | 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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1 | 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 |
|
1 | 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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1 | 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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1 | 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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1 | 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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1 | 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 |
|
1 | 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 |
|
1 | 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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1 | 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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1 | 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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1 | 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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1 | 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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1 | 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 |
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1 | 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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1 | 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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1 | 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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1 | 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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1 | 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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1 | 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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1 | 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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1 | 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 |
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1 | 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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1 | 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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1 | 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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1 | 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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1 | 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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1 | 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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1 | 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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1 | 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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1 | 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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1 | 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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1 | 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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1 | 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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1 | 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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1 | 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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1 | 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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1 | 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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1 | 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 |
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1 | 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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1 | 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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1 | 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 |
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1 | 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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1 | 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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1 | 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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1 | 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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1 | 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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1 | 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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1 | 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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1 | |
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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1 | 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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1 | 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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1 | 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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1 | 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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1 | 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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