v1v2 (latest)

Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms

30 November 2023

ArXiv (abs)PDF HTML Github (42★)

Papers citing "Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms"

26 / 26 papers shown

Title
Decision Transformer as a Foundation Model for Partially Observable Continuous Control Xiangyuan Zhang Weichao Mao Haoran Qiu Tamer Basar OffRL AI4CE 86 6 0 03 Apr 2024
Parametric PDE Control with Deep Reinforcement Learning and Differentiable L0-Sparse Polynomial Policies N. Botteghi Urban Fasel AI4CE 93 6 0 22 Mar 2024
Learning a model is paramount for sample efficiency in reinforcement learning control of PDEs Stefan Werner Sebastian Peitz 88 9 0 14 Feb 2023
Learning the Kalman Filter with Fine-Grained Sample Complexity Xiangyuan Zhang Bin Hu Tamer Bacsar 65 16 0 30 Jan 2023
Distributed Control of Partial Differential Equations Using Convolutional Reinforcement Learning Sebastian Peitz J. Stenner V. Chidananda Oliver Wallscheid Steven L. Brunton Kunihiko Taira AI4CE 51 19 0 25 Jan 2023
Reinforcement learning-based estimation for partial differential equations S. Mowlavi M. Benosman 32 4 0 20 Jan 2023
Statistical Learning Theory for Control: A Finite Sample Perspective Anastasios Tsiamis Ingvar M. Ziemann Nikolai Matni George J. Pappas 183 77 0 12 Sep 2022
How are policy gradient methods affected by the limits of control? Ingvar M. Ziemann Anastasios Tsiamis H. Sandberg Nikolai Matni 49 14 0 14 Jun 2022
Data-driven control of spatiotemporal chaos with reduced-order neural ODE-based models and reinforcement learning Kevin Zeng Alec J. Linot M. Graham AI4CE 58 29 0 01 May 2022
Model-Free $μ$ Synthesis via Adversarial Reinforcement Learning Darioush Keivan Aaron J. Havens Peter M. Seiler Geir Dullerud Bin Hu 48 7 0 30 Nov 2021
Stabilizing Dynamical Systems via Policy Gradient Methods Juan C. Perdomo Jack Umenberger Max Simchowitz 70 45 0 13 Oct 2021
Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning Lukas Brunke Melissa Greeff Adam W. Hall Zhaocong Yuan Siqi Zhou Jacopo Panerati Angela P. Schoellig OffRL 63 630 0 13 Aug 2021
Deluca -- A Differentiable Control Library: Environments, Methods, and Benchmarking Paula Gradu John Hallman Daniel Suo Alex Yu Naman Agarwal Udaya Ghai Karan Singh Cyril Zhang Anirudha Majumdar Elad Hazan 39 15 0 19 Feb 2021
Policy Gradient Methods for the Noisy Linear Quadratic Regulator over a Finite Horizon B. Hambly Renyuan Xu Huining Yang 63 63 0 20 Nov 2020
Black-Box Control for Linear Dynamical Systems Xinyi Chen Elad Hazan 50 83 0 13 Jul 2020
dm_control: Software and Tasks for Continuous Control Yuval Tassa S. Tunyasuvunakool Alistair Muldal Yotam Doron Piotr Trochim ... Steven Bohez J. Merel Tom Erez Timothy Lillicrap N. Heess LM&Ro 94 417 0 22 Jun 2020
Convergence and sample complexity of gradient methods for the model-free linear quadratic regulator problem Hesameddin Mohammadi A. Zare Mahdi Soltanolkotabi M. Jovanović 72 123 0 26 Dec 2019
Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach Yingying Li Yujie Tang Runyu Zhang Na Li 76 102 0 19 Dec 2019
$Policy Optimization for $\mathcal{H}_2$ Linear Control with $\mathcal{H}_\infty$ Robustness Guarantee: Implicit Regularization and Global Convergence$ Policy Optimization for $\mathcal{H}_2$ Linear Control with $\mathcal{H}_\infty$ Robustness Guarantee: Implicit Regularization and Global Convergence Kai Zhang Bin Hu Tamer Basar 62 121 0 21 Oct 2019
Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games Kai Zhang Zhuoran Yang Tamer Basar 85 127 0 31 May 2019
Online Control with Adversarial Disturbances Naman Agarwal Brian Bullins Elad Hazan Sham Kakade Karan Singh 44 240 0 23 Feb 2019
Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems Dhruv Malik A. Pananjady Kush S. Bhatia K. Khamaru Peter L. Bartlett Martin J. Wainwright 51 199 0 20 Dec 2018
A Tour of Reinforcement Learning: The View from Continuous Control Benjamin Recht 121 631 0 25 Jun 2018
On the Sample Complexity of the Linear Quadratic Regulator Sarah Dean Horia Mania Nikolai Matni Benjamin Recht Stephen Tu 73 579 0 04 Oct 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 541 19,265 0 20 Jul 2017
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 207 8,879 0 04 Feb 2016