| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | 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.  |
L4DC  |
2022 |
DBLP BibTeX RDF |
|
| 1 | Felipe Galarza-Jimenez, Jorge Poveda, Emiliano Dall'Anese |
Sliding-Seeking Control: Model-Free Optimization with Safety Constraints. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Weiming Zhi, Tin Lai, Lionel Ott, Fabio Ramos 0001 |
Diffeomorphic Transforms for Generalised Imitation Learning. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Samuel Chevalier, Jochen Stiasny, Spyros Chatzivasileiadis |
Accelerating Dynamical System Simulations with Contracting and Physics-Projected Neural-Newton Solvers. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Luca Furieri, Clara Lucía Galimberti, Muhammad Zakwan, Giancarlo Ferrari-Trecate |
Distributed Neural Network Control with Dependability Guarantees: a Compositional Port-Hamiltonian Approach. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Yujie Yang, Jianyu Chen, Shengbo Li 0001 |
Learning POMDP Models with Similarity Space Regularization: a Linear Gaussian Case Study. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Andrea Sassella, Valentina Breschi, Simone Formentin |
Noise Handling in Data-driven Predictive Control: A Strategy Based on Dynamic Mode Decomposition. |
L4DC |
2022 |
DBLP BibTeX RDF |
|
| 1 | Jingwei Zhang, Zhuoran Yang, Zhengyuan Zhou, Zhaoran Wang 0001 |
Provably Sample Efficient Reinforcement Learning in Competitive Linear Quadratic Systems. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Siddharth Karamcheti, Albert J. Zhai, Dylan P. Losey, Dorsa Sadigh |
Learning Visually Guided Latent Actions for Assistive Teleoperation. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Dawei Sun, Mohammad Javad Khojasteh, Shubhanshu Shekhar, Chuchu Fan |
Uncertain-aware Safe Exploratory Planning using Gaussian Process and Neural Control Contraction Metric. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Rika Antonova, Anastasiia Varava, Peiyang Shi, J. Frederico Carvalho 0001, Danica Kragic |
Sequential Topological Representations for Predictive Models of Deformable Objects. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Jing Yu, Clement Gehring, Florian Schäfer, Animashree Anandkumar |
Robust Reinforcement Learning: A Constrained Game-theoretic Approach. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar |
Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Kushal Chakrabarti, Nirupam Gupta, Nikhil Chopra |
Accelerating Distributed SGD for Linear Regression using Iterative Pre-Conditioning. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Clara Lucía Galimberti, Liang Xu 0005, Giancarlo Ferrari-Trecate |
A unified framework for Hamiltonian deep neural networks. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Laura Ferrarotti, Valentina Breschi, Alberto Bemporad |
The benefits of sharing: a cloud-aided performance-driven framework to learn optimal feedback policies. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Chenyu Liu, Yan Zhang 0043, Yi Shen 0011, Michael M. Zavlanos |
Learning without Knowing: Unobserved Context in Continuous Transfer Reinforcement Learning. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Aaron J. Havens, Girish Chowdhary 0001 |
Forced Variational Integrator Networks for Prediction and Control of Mechanical Systems. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Pierre-François Massiani, Steve Heim, Sebastian Trimpe |
On exploration requirements for learning safety constraints. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Ying Zhao Lian, Colin N. Jones |
Nonlinear Data-Enabled Prediction and Control. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Peng Zhao 0006, Lijun Zhang 0005 |
Improved Analysis for Dynamic Regret of Strongly Convex and Smooth Functions. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Nicholas M. Boffi, Stephen Tu, Jean-Jacques E. Slotine |
Regret Bounds for Adaptive Nonlinear Control. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Gautam Goel, Babak Hassibi |
Regret-optimal measurement-feedback control. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Xunbi A. Ji, Tamás G. Molnár, Sergei S. Avedisov, Gábor Orosz |
Learning the Dynamics of Time Delay Systems with Trainable Delays. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Ali Jadbabaie, John Lygeros, George J. Pappas, Pablo A. Parrilo, Benjamin Recht, Claire J. Tomlin, Melanie N. Zeilinger |
Preface. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Andrea Sassella, Valentina Breschi, Simone Formentin |
Data-driven design of switching reference governors for brake-by-wire applications. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Alexander Robey, Arman Adibi, Brent Schlotfeldt, Hamed Hassani, George J. Pappas |
Optimal Algorithms for Submodular Maximization with Distributed Constraints. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Yaofeng Desmond Zhong, Biswadip Dey, Amit Chakraborty |
Benchmarking Energy-Conserving Neural Networks for Learning Dynamics from Data. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Konstantinos Gatsis |
Linear Regression over Networks with Communication Guarantees. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo |
Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-Reinforcement Learning. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Dhruva Kartik, Neeraj Sood, Urbashi Mitra, Tara Javidi |
Adaptive Sampling for Estimating Distributions: A Bayesian Upper Confidence Bound Approach. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Sean J. Wang, Aaron M. Johnson |
Domain Adaptation Using System Invariant Dynamics Models. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Naifu Zhang, Nicholas Capel |
LEOC: A Principled Method in Integrating Reinforcement Learning and Classical Control Theory. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Ziyi Wang 0001, Oswin So, Keuntaek Lee, Evangelos A. Theodorou |
Adaptive Risk Sensitive Model Predictive Control with Stochastic Search. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Yassine Nemmour, Bernhard Schölkopf, Jia-Jie Zhu |
Approximate Distributionally Robust Nonlinear Optimization with Application to Model Predictive Control: A Functional Approach. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Yang Zheng 0001, Luca Furieri, Maryam Kamgarpour, Na Li 0002 |
Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Lukas P. Fröhlich, Melanie N. Zeilinger, Edgar D. Klenske |
Cautious Bayesian Optimization for Efficient and Scalable Policy Search. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Yujie Tang 0002, Yang Zheng 0001, Na Li 0002 |
Analysis of the Optimization Landscape of Linear Quadratic Gaussian (LQG) Control. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Akshay Mete, Rahul Singh 0001, Xi Liu 0011, P. R. Kumar 0001 |
Reward Biased Maximum Likelihood Estimation for Reinforcement Learning. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Samuel K. Ainsworth, Kendall Lowrey, John Thickstun, Zaïd Harchaoui, Siddhartha S. Srinivasa |
Faster Policy Learning with Continuous-Time Gradients. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Patricia Pauli, Johannes Köhler, Julian Berberich, Anne Koch 0001, Frank Allgöwer |
Offset-free setpoint tracking using neural network controllers. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Guillaume O. Berger, Raphaël M. Jungers, Zheming Wang |
Chance-constrained quasi-convex optimization with application to data-driven switched systems control. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Steven Wong, Lejun Jiang, Robin Walters 0001, Tamás G. Molnár, Gábor Orosz, Rose Yu |
Traffic Forecasting using Vehicle-to-Vehicle Communication. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Anton Xue, Nikolai Matni |
Data-Driven System Level Synthesis. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Anders Rantzer |
Minimax Adaptive Control for a Finite Set of Linear Systems. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Lorenz Dörschel, David Stenger, Dirk Abel |
Safe Bayesian Optimisation for Controller Design by Utilising the Parameter Space Approach. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Anas Makdesi, Antoine Girard, Laurent Fribourg |
Data-Driven Abstraction of Monotone Systems. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Sahin Lale, Oguzhan Teke, Babak Hassibi, Anima Anandkumar |
Stability and Identification of Random Asynchronous Linear Time-Invariant Systems. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Junhyeok Ahn, Luis Sentis |
Nested Mixture of Experts: Cooperative and Competitive Learning of Hybrid Dynamical System. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Elliott Skomski, Ján Drgona, Aaron Tuor |
Automating Discovery of Physics-Informed Neural State Space Models via Learning and Evolution. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Daniel Esteban Ochoa, Jorge I. Poveda, Anantharam Subbaraman, Gerd S. Schmidt, Farshad R. Pour Safaei |
Accelerated Concurrent Learning Algorithms via Data-Driven Hybrid Dynamics and Nonsmooth ODEs. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Avik Jain, Lawrence Chan, Daniel S. Brown, Anca D. Dragan |
Optimal Cost Design for Model Predictive Control. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Ioannis Proimadis, Yorick Broens, Roland Tóth, Hans Butler |
Learning-based feedforward augmentation for steady state rejection of residual dynamics on a nanometer-accurate planar actuator system. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Udaya Ghai, David Snyder, Anirudha Majumdar, Elad Hazan |
Generating Adversarial Disturbances for Controller Verification. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Anshuka Rangi, Mohammad Javad Khojasteh, Massimo Franceschetti |
Learning based attacks in Cyber Physical Systems: Exploration, Detection, and Control Cost trade-offs. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Anoopkumar Sonar, Vincent Pacelli, Anirudha Majumdar |
Invariant Policy Optimization: Towards Stronger Generalization in Reinforcement Learning. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | James A. Preiss, Gaurav S. Sukhatme |
Suboptimal coverings for continuous spaces of control tasks. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Gerben Beintema, Roland Tóth, Maarten Schoukens |
Nonlinear state-space identification using deep encoder networks. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Mathieu Granzotto, Romain Postoyan, Dragan Nesic, Lucian Busoniu, Jamal Daafouz |
When to stop value iteration: stability and near-optimality versus computation. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Arash Mehrjou, Mohammad Ghavamzadeh, Bernhard Schölkopf |
Neural Lyapunov Redesign. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Sarah Dean, Benjamin Recht |
Certainty Equivalent Perception-Based Control. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Meghan Booker, Anirudha Majumdar |
Learning to Actively Reduce Memory Requirements for Robot Control Tasks. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Rafael Rafailov, Tianhe Yu, Aravind Rajeswaran, Chelsea Finn |
Offline Reinforcement Learning from Images with Latent Space Models. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Joseph E. Gaudio, Anuradha M. Annaswamy, José M. Moreu, Michael A. Bolender, Travis E. Gibson |
Accelerated Learning with Robustness to Adversarial Regressors. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Emilio Tanowe Maddalena, Paul Scharnhorst, Yuning Jiang, Colin N. Jones |
KPC: Learning-Based Model Predictive Control with Deterministic Guarantees. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Yutong Li, Nan Li 0015, H. Eric Tseng, Anouck Girard, Dimitar P. Filev, Ilya V. Kolmanovsky |
Safe Reinforcement Learning Using Robust Action Governor. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Paul M. J. Van den Hof, Karthik Raghavan Ramaswamy |
Learning local modules in dynamic networks. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Lintao Ye, Aritra Mitra, Shreyas Sundaram |
Near-Optimal Data Source Selection for Bayesian Learning. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Joshua Smith 0002, Michael N. Mistry |
ARDL - A Library for Adaptive Robotic Dynamics Learning. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Brandon Amos, Samuel Stanton, Denis Yarats, Andrew Gordon Wilson |
On the model-based stochastic value gradient for continuous reinforcement learning. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Navid Hashemi, Justin Ruths, Mahyar Fazlyab |
Certifying Incremental Quadratic Constraints for Neural Networks via Convex Optimization. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Liang Xu 0005, Mustafa Sahin Turan, Baiwei Guo, Giancarlo Ferrari-Trecate |
Non-conservative Design of Robust Tracking Controllers Based on Input-output Data. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Feiran Zhao, Keyou You |
Primal-dual Learning for the Model-free Risk-constrained Linear Quadratic Regulator. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Nils Wieler, Julian Berberich, Anne Koch 0001, Frank Allgöwer |
Data-Driven Controller Design via Finite-Horizon Dissipativity. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Aditya Gahlawat, Arun Lakshmanan, Lin Song, Andrew Patterson, Zhuohuan Wu, Naira Hovakimyan, Evangelos A. Theodorou |
Contraction ℒ1-Adaptive Control using Gaussian Processes. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Armin Lederer, Alexandre Capone, Thomas Beckers 0001, Jonas Umlauft, Sandra Hirche |
The Impact of Data on the Stability of Learning-Based Control. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Matthew Newton, Antonis Papachristodoulou |
Exploiting Sparsity for Neural Network Verification. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Mohammad Khosravi |
Learning Finite-Dimensional Representations For Koopman Operators. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Lenart Treven, Sebastian Curi, Mojmír Mutný, Andreas Krause 0001 |
Learning Stabilizing Controllers for Unstable Linear Quadratic Regulators from a Single Trajectory. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Siddhartha Satpathi, Rayadurgam Srikant |
The Dynamics of Gradient Descent for Overparametrized Neural Networks. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Felix Bünning, Adrian Schalbetter, Ahmed Aboudonia, Mathias Hudoba de Badyn, Philipp Heer, John Lygeros |
Input Convex Neural Networks for Building MPC. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Ingvar M. Ziemann, Henrik Sandberg |
On Uninformative Optimal Policies in Adaptive LQR with Unknown B-Matrix. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Signe Moe, Camilla Sterud |
Decoupling dynamics and sampling: RNNs for unevenly sampled data and flexible online predictions. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Amr Alanwar 0001, Anne Koch 0001, Frank Allgöwer, Karl Henrik Johansson |
Data-Driven Reachability Analysis Using Matrix Zonotopes. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Simone Totaro, Anders Jonsson 0001 |
Fast Stochastic Kalman Gradient Descent for Reinforcement Learning. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Liyuan Zheng, Yuanyuan Shi, Lillian J. Ratliff, Baosen Zhang |
Safe Reinforcement Learning of Control-Affine Systems with Vertex Networks. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Noel Csomay-Shanklin, Ryan K. Cosner, Min Dai, Andrew J. Taylor, Aaron D. Ames |
Episodic Learning for Safe Bipedal Locomotion with Control Barrier Functions and Projection-to-State Safety. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Murad Abu-Khalaf, Sertac Karaman, Daniela Rus |
Feedback from Pixels: Output Regulation via Learning-based Scene View Synthesis. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Nicholas Galioto, Alex Arkady Gorodetsky |
A New Objective for Identification of Partially Observed Linear Time-Invariant Dynamical Systems from Input-Output Data. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Alexander von Rohr, Matthias Neumann-Brosig, Sebastian Trimpe |
Probabilistic robust linear quadratic regulators with Gaussian processes. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Hotae Lee, Monimoy Bujarbaruah, Francesco Borrelli |
Learning How to Solve "Bubble Ball". |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Gabriella Pizzuto, Michael N. Mistry |
Physics-penalised Regularisation for Learning Dynamics Models with Contact. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Salar Fattahi |
Learning Partially Observed Linear Dynamical Systems from Logarithmic Number of Samples. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Amir Ali Ahmadi, Abraar Chaudhry, Vikas Sindhwani, Stephen Tu |
Safely Learning Dynamical Systems from Short Trajectories. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Jiaqi Li, Ross Drummond, Stephen R. Duncan |
Robust error bounds for quantised and pruned neural networks. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Mario Sznaier |
A Data Driven, Convex Optimization Approach to Learning Koopman Operators. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Matteo Marchi, Bahman Gharesifard, Paulo Tabuada |
Training deep residual networks for uniform approximation guarantees. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Fernando Gama, Somayeh Sojoudi |
Graph Neural Networks for Distributed Linear-Quadratic Control. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Rui Wang 0086, Danielle C. Maddix, Christos Faloutsos, Yuyang Wang 0001, Rose Yu |
Bridging Physics-based and Data-driven modeling for Learning Dynamical Systems. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 1 | Benoit Landry, Hongkai Dai, Marco Pavone 0001 |
SEAGuL: Sample Efficient Adversarially Guided Learning of Value Functions. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
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