A Tour of Reinforcement Learning: The View from Continuous Control

25 June 2018

Benjamin Recht

Papers citing "A Tour of Reinforcement Learning: The View from Continuous Control"

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Title
Average Reward Reinforcement Learning for Omega-Regular and Mean-Payoff Objectives Milad Kazemi Mateo Perez Fabio Somenzi Sadegh Soudjani Ashutosh Trivedi Alvaro Velasquez 9 0 0 21 May 2025
Exploiting inter-agent coupling information for efficient reinforcement learning of cooperative LQR Shahbaz P Qadri Syed He Bai 43 0 0 29 Apr 2025
Increasing Information for Model Predictive Control with Semi-Markov Decision Processes Rémy Hosseinkhan Boucher Onofrio Semeraro L. Mathelin 53 0 0 28 Jan 2025
Broad Critic Deep Actor Reinforcement Learning for Continuous Control Shiron Thalagala Pak Kin Wong Xiaozheng Wang Tianang Sun OffRL 76 0 0 24 Nov 2024
A Pontryagin Perspective on Reinforcement Learning Onno Eberhard Claire Vernade Michael Muehlebach 45 2 0 28 May 2024
Improving a Proportional Integral Controller with Reinforcement Learning on a Throttle Valve Benchmark Paul Daoudi B. Mavkov Bogdan Robu Christophe Prieur Emmanuel Witrant M. Barlier Ludovic Dos Santos 28 2 0 21 Feb 2024
Human adaptation to adaptive machines converges to game-theoretic equilibria Benjamin J. Chasnov Lillian J. Ratliff Samuel A. Burden 19 3 0 01 May 2023
The transformative potential of machine learning for experiments in fluid mechanics Ricardo Vinuesa Steven L. Brunton B. McKeon AI4CE 45 68 0 28 Mar 2023
Human-Inspired Framework to Accelerate Reinforcement Learning Ali Beikmohammadi Sindri Magnússon OffRL 29 4 0 28 Feb 2023
Learning the Kalman Filter with Fine-Grained Sample Complexity Xiangyuan Zhang Bin Hu Tamer Bacsar 26 16 0 30 Jan 2023
Suboptimality analysis of receding horizon quadratic control with unknown linear systems and its applications in learning-based control Shengli Shi Anastasios Tsiamis B. de Schutter 23 2 0 19 Jan 2023
Approximate Information States for Worst-Case Control and Learning in Uncertain Systems Aditya Dave N. Venkatesh Andreas A. Malikopoulos 35 7 0 12 Jan 2023
Optimization-Based Control for Dynamic Legged Robots Patrick M. Wensing Michael Posa Yue Hu Adrien Escande Nicolas Mansard Andrea Del Prete 32 142 0 21 Nov 2022
Design Process is a Reinforcement Learning Problem Reza kakooee Benjamin Dillunberger OffRL 33 0 0 06 Nov 2022
Characterising the Robustness of Reinforcement Learning for Continuous Control using Disturbance Injection Catherine R. Glossop Jacopo Panerati A. Krishnan Zhaocong Yuan Angela P. Schoellig 27 6 0 27 Oct 2022
Neural ODEs as Feedback Policies for Nonlinear Optimal Control I. O. Sandoval Panagiotis Petsagkourakis Ehecatl Antonio del Rio Chanona 25 9 0 20 Oct 2022
Towards a Theoretical Foundation of Policy Optimization for Learning Control Policies Bin Hu Kaipeng Zhang Na Li M. Mesbahi Maryam Fazel Tamer Bacsar 87 27 0 10 Oct 2022
Modern Machine Learning Tools for Monitoring and Control of Industrial Processes: A Survey R. Bhushan Gopaluni Aditya Tulsyan Benoît Chachuat Biao Huang J. M. Lee Faraz Amjad S. Damarla Jong Woo Kim Nathan P. Lawrence AI4CE 21 38 0 22 Sep 2022
When Bioprocess Engineering Meets Machine Learning: A Survey from the Perspective of Automated Bioprocess Development Nghia Duong-Trung Stefan Born Jong Woo Kim M. Schermeyer Katharina Paulick ... Thorben Werner Randolf Scholz Lars Schmidt-Thieme Peter Neubauer Ernesto Martinez 39 20 0 02 Sep 2022
Sample-efficient Safe Learning for Online Nonlinear Control with Control Barrier Functions Wenhao Luo Wen Sun Ashish Kapoor OffRL 45 9 0 29 Jul 2022
Generalized Policy Improvement Algorithms with Theoretically Supported Sample Reuse James Queeney I. Paschalidis Christos G. Cassandras OffRL 32 2 0 28 Jun 2022
$Thompson Sampling Achieves $\tilde O(\sqrt{T})$ Regret in Linear Quadratic Control$ Thompson Sampling Achieves $\tilde O(\sqrt{T})$ Regret in Linear Quadratic Control Taylan Kargin Sahin Lale Kamyar Azizzadenesheli Anima Anandkumar B. Hassibi 23 11 0 17 Jun 2022
Safety Certification for Stochastic Systems via Neural Barrier Functions Frederik Baymler Mathiesen S. Calvert Luca Laurenti 31 35 0 03 Jun 2022
Learning to Control Linear Systems can be Hard Anastasios Tsiamis Ingvar M. Ziemann M. Morari Nikolai Matni George J. Pappas 24 14 0 27 May 2022
Kullback-Leibler control for discrete-time nonlinear systems on continuous spaces Kaito Ito Kenji Kashima 22 6 0 24 Mar 2022
Comparative analysis of machine learning methods for active flow control F. Pino Lorenzo Schena Jean Rabault M. A. Mendez 34 43 0 23 Feb 2022
Reinforcement Learning in Practice: Opportunities and Challenges Yuxi Li OffRL 38 9 0 23 Feb 2022
Control-Tutored Reinforcement Learning: Towards the Integration of Data-Driven and Model-Based Control F. D. Lellis M. Coraggio G. Russo Mirco Musolesi M. D. Bernardo 21 7 0 11 Dec 2021
Learning over All Stabilizing Nonlinear Controllers for a Partially-Observed Linear System Ruigang Wang Nicholas H. Barbara Max Revay I. Manchester 19 16 0 08 Dec 2021
Smooth Imitation Learning via Smooth Costs and Smooth Policies Sapana Chaudhary Balaraman Ravindran 24 1 0 03 Nov 2021
Quadrotor Trajectory Tracking with Learned Dynamics: Joint Koopman-based Learning of System Models and Function Dictionaries C. Folkestad Skylar X. Wei J. W. Burdick 41 6 0 20 Oct 2021
GrowSpace: Learning How to Shape Plants Yasmeen Hitti Ionelia Buzatu Manuel Del Verme M. Lefsrud Florian Golemo A. Durand 19 2 0 15 Oct 2021
Data Sharing and Compression for Cooperative Networked Control Jiangnan Cheng Marco Pavone Sachin Katti Sandeep P. Chinchali A. Tang 34 10 0 29 Sep 2021
Computing Complexity-aware Plans Using Kolmogorov Complexity Elis Stefansson Karl H. Johansson 34 4 0 21 Sep 2021
Concave Utility Reinforcement Learning with Zero-Constraint Violations Mridul Agarwal Qinbo Bai Vaneet Aggarwal 36 12 0 12 Sep 2021
Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems Fangda Gu He Yin L. Ghaoui Murat Arcak Peter M. Seiler Ming Jin 25 25 0 08 Sep 2021
Evolving Hierarchical Memory-Prediction Machines in Multi-Task Reinforcement Learning Stephen Kelly Tatiana Voegerl W. Banzhaf C. Gondro 45 13 0 23 Jun 2021
Koopman NMPC: Koopman-based Learning and Nonlinear Model Predictive Control of Control-affine Systems C. Folkestad J. W. Burdick 14 46 0 17 May 2021
Reinforcement Learning with Algorithms from Probabilistic Structure Estimation J. Epperlein R. Overko Sergiy Zhuk Christopher K. King Djallel Bouneffouf Andrew Cullen Robert Shorten OffRL 21 7 0 15 Mar 2021
Learning to Fly -- a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control Jacopo Panerati Hehui Zheng Siqi Zhou James Xu Amanda Prorok Angela P. Schoellig University of Toronto Institute for A Studies AI4CE 22 155 0 03 Mar 2021
Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning Rishabh Agarwal Marlos C. Machado Pablo Samuel Castro Marc G. Bellemare OffRL 29 164 0 13 Jan 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 40 2 0 04 Jan 2021
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search Y. Fu Zhongzhi Yu Yongan Zhang Yingyan Lin 22 4 0 24 Dec 2020
Tutoring Reinforcement Learning via Feedback Control F. D. Lellis G. Russo M. D. Bernardo 19 6 0 12 Dec 2020
Data-Driven System Level Synthesis Anton Xue Nikolai Matni 24 41 0 20 Nov 2020
MRAC-RL: A Framework for On-Line Policy Adaptation Under Parametric Model Uncertainty A. Guha Anuradha M. Annaswamy 31 12 0 20 Nov 2020
Improved rates for prediction and identification of partially observed linear dynamical systems Holden Lee 21 10 0 19 Nov 2020
Control with adaptive Q-learning J. Araújo Mário A. T. Figueiredo M. Botto 33 2 0 03 Nov 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 44 79 0 17 Sep 2020
Safe Active Dynamics Learning and Control: A Sequential Exploration-Exploitation Framework T. Lew Apoorva Sharma James Harrison Andrew Bylard Marco Pavone 28 44 0 26 Aug 2020