Robust Reinforcement Learning for Continuous Control with Model Misspecification

18 June 2019

Jost Tobias Springenberg

Martin Riedmiller

Papers citing "Robust Reinforcement Learning for Continuous Control with Model Misspecification"

29 / 29 papers shown

Title
Reasoning in visual navigation of end-to-end trained agents: a dynamical systems approach Steeven Janny Hervé Poirier L. Antsfeld G. Bono G. Monaci Boris Chidlovskii Francesco Giuliari Alessio Del Bue Christian Wolf LM&Ro 63 0 0 11 Mar 2025
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces Shyam Sundhar Ramesh Pier Giuseppe Sessa Yifan Hu Andreas Krause Ilija Bogunovic OOD 47 10 0 05 Sep 2023
Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning Zaiyan Xu Kishan Panaganti D. Kalathil OOD OffRL 34 31 0 05 Mar 2023
Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees James Queeney E. C. Ozcan I. Paschalidis Christos G. Cassandras OOD OffRL 38 5 0 31 Jan 2023
Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning James Queeney M. Benosman OOD OffRL 46 5 0 30 Jan 2023
Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification Takumi Tanabe Reimi Sato Kazuto Fukuchi Jun Sakuma Youhei Akimoto OffRL 27 9 0 07 Nov 2022
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning Yongyuan Liang Yanchao Sun Ruijie Zheng Furong Huang OOD AAML OffRL 30 47 0 12 Oct 2022
Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns for Cross-Domain Adaptation Kang Xu Yan Ma Bingsheng Wei Wei Li 40 3 0 24 Sep 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Yue Liu Ding Zhao 79 45 0 16 Sep 2022
RASR: Risk-Averse Soft-Robust MDPs with EVaR and Entropic Risk J. Hau Marek Petrik Mohammad Ghavamzadeh R. Russel 37 5 0 09 Sep 2022
Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization Yuan Zhang Jianhong Wang Joschka Boedecker 43 3 0 05 Jul 2022
Robust Longitudinal Control for Vehicular Autonomous Platoons Using Deep Reinforcement Learning A. A. Neto L. Mozelli 21 0 0 31 May 2022
Hysteresis-Based RL: Robustifying Reinforcement Learning-based Control Policies via Hybrid Control Jan de Priester R. Sanfelice N. van de Wouw 33 2 0 01 Apr 2022
Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning L. Pullum 29 2 0 22 Mar 2022
User-Oriented Robust Reinforcement Learning Haoyi You Beichen Yu Haiming Jin Zhaoxing Yang Jiahui Sun OffRL 34 0 0 15 Feb 2022
TOAST: Trajectory Optimization and Simultaneous Tracking using Shared Neural Network Dynamics Taekyung Kim Hojin Lee S. Hong Wonsuk Lee 24 10 0 20 Jan 2022
Towards Autonomous Satellite Communications: An AI-based Framework to Address System-level Challenges J. Luis Skylar Eiskowitz Nils Pachler de la Osa E. Crawley B. Cameron 23 5 0 11 Dec 2021
Sample Complexity of Robust Reinforcement Learning with a Generative Model Kishan Panaganti D. Kalathil 98 71 0 02 Dec 2021
On Assessing The Safety of Reinforcement Learning algorithms Using Formal Methods Paulina Stevia Nouwou Mindom Amin Nikanjam Foutse Khomh J. Mullins AAML 36 3 0 08 Nov 2021
Learning Robust Controllers Via Probabilistic Model-Based Policy Search V. Charvet B. S. Jensen R. Murray-Smith 19 2 0 26 Oct 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 27 6 0 07 Jul 2021
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary Huan Zhang Hongge Chen Duane S. Boning Cho-Jui Hsieh 69 163 0 21 Jan 2021
Soft-Robust Algorithms for Batch Reinforcement Learning Elita Lobo Mohammad Ghavamzadeh Marek Petrik OffRL 38 4 0 30 Nov 2020
Robust Constrained Reinforcement Learning for Continuous Control with Model Misspecification D. Mankowitz D. A. Calian Rae Jeong Cosmin Paduraru N. Heess Sumanth Dathathri Martin Riedmiller Timothy A. Mann 29 12 0 20 Oct 2020
Robust Deep Reinforcement Learning through Adversarial Loss Tuomas P. Oikarinen Wang Zhang Alexandre Megretski Luca Daniel Tsui-Wei Weng AAML 49 94 0 05 Aug 2020
Robust Reinforcement Learning using Least Squares Policy Iteration with Provable Performance Guarantees Kishan Panaganti D. Kalathil 24 4 0 20 Jun 2020
An empirical investigation of the challenges of real-world reinforcement learning Gabriel Dulac-Arnold Nir Levine D. Mankowitz Jerry Li Cosmin Paduraru Sven Gowal Todd Hester OffRL 36 121 0 24 Mar 2020
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations Huan Zhang Hongge Chen Chaowei Xiao Yue Liu Mingyan D. Liu Duane S. Boning Cho-Jui Hsieh AAML 49 261 0 19 Mar 2020
$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 29 119 0 21 Oct 2019