Reinforcement Learning under Model Mismatch

15 June 2017

Papers citing "Reinforcement Learning under Model Mismatch"

49 / 49 papers shown

Title
Noisy Zero-Shot Coordination: Breaking The Common Knowledge Assumption In Zero-Shot Coordination Games Usman Anwar Ashish Pandian Jia Wan David M. Krueger Jakob N. Foerster 39 0 0 07 Nov 2024
Constrained Reinforcement Learning Under Model Mismatch Zhongchang Sun Sihong He Fei Miao Shaofeng Zou 54 4 0 02 May 2024
Explicit Lipschitz Value Estimation Enhances Policy Robustness Against Perturbation Xulin Chen Ruipeng Liu Garret E. Katz 49 0 0 22 Apr 2024
Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption Chen Ye Jiafan He Quanquan Gu Tong Zhang 53 5 0 14 Feb 2024
Solving Long-run Average Reward Robust MDPs via Stochastic Games Krishnendu Chatterjee Ehsan Kafshdar Goharshady Mehrdad Karrabi Petr Novotný Dorde Zikelic 26 5 0 21 Dec 2023
Bridging Distributionally Robust Learning and Offline RL: An Approach to Mitigate Distribution Shift and Partial Data Coverage Kishan Panaganti Zaiyan Xu D. Kalathil Mohammad Ghavamzadeh OOD OffRL 49 8 0 27 Oct 2023
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
First-order Policy Optimization for Robust Policy Evaluation Yuante Li Guanghui Lan OffRL 22 5 0 29 Jul 2023
Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation Ruida Zhou Tao-Wen Liu Min Cheng D. Kalathil P. R. Kumar Chao Tian 62 20 0 17 Jul 2023
Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity Runyu Zhang Yang Hu Na Li 46 5 0 20 Jun 2023
Solving Robust MDPs through No-Regret Dynamics E. Guha 38 0 0 30 May 2023
The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model Laixi Shi Gen Li Yuting Wei Yuxin Chen Matthieu Geist Yuejie Chi OOD 53 33 0 26 May 2023
Model-Free Robust Average-Reward Reinforcement Learning Yue Wang Alvaro Velasquez George Atia Ashley Prater-Bennette Shaofeng Zou 37 12 0 17 May 2023
On Practical Robust Reinforcement Learning: Practical Uncertainty Set and Double-Agent Algorithm Ukjo Hwang Songnam Hong 33 0 0 11 May 2023
Twice Regularized Markov Decision Processes: The Equivalence between Robustness and Regularization E. Derman Yevgeniy Men Matthieu Geist Shie Mannor 50 1 0 12 Mar 2023
Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning Zaiyan Xu Kishan Panaganti D. Kalathil OOD OffRL 34 32 0 05 Mar 2023
Policy Gradient for Rectangular Robust Markov Decision Processes Navdeep Kumar E. Derman Matthieu Geist Kfir Y. Levy Shie Mannor 43 20 0 31 Jan 2023
Single-Trajectory Distributionally Robust Reinforcement Learning Zhipeng Liang Xiaoteng Ma Jose H. Blanchet Jiheng Zhang Zhengyuan Zhou OOD OffRL 42 12 0 27 Jan 2023
Risk-Averse MDPs under Reward Ambiguity Haolin Ruan Zhi Chen C. Ho 45 2 0 03 Jan 2023
Robust Average-Reward Markov Decision Processes Yue Wang Alvaro Velasquez George Atia Ashley Prater-Bennette Shaofeng Zou 44 12 0 02 Jan 2023
Policy Gradient in Robust MDPs with Global Convergence Guarantee Qiuhao Wang C. Ho Marek Petrik 44 27 0 20 Dec 2022
Environment Design for Inverse Reinforcement Learning Thomas Kleine Buening Victor Villin Christos Dimitrakakis 52 1 0 26 Oct 2022
First-order Policy Optimization for Robust Markov Decision Process Yan Li Guanghui Lan Tuo Zhao 77 23 0 21 Sep 2022
Robust Constrained Reinforcement Learning Yue Wang Fei Miao Shaofeng Zou 42 13 0 14 Sep 2022
Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity Laixi Shi Yuejie Chi OOD OffRL 42 64 0 11 Aug 2022
Robust Reinforcement Learning using Offline Data Kishan Panaganti Zaiyan Xu D. Kalathil Mohammad Ghavamzadeh OffRL 55 70 0 10 Aug 2022
Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization Yuan Zhang Jianhong Wang Joschka Boedecker 43 3 0 05 Jul 2022
RORL: Robust Offline Reinforcement Learning via Conservative Smoothing Rui Yang Chenjia Bai Xiaoteng Ma Zhaoran Wang Chongjie Zhang Lei Han OffRL 46 74 0 06 Jun 2022
Robust Phi-Divergence MDPs C. Ho Marek Petrik Wolf Wiesemann 23 1 0 27 May 2022
Policy Gradient Method For Robust Reinforcement Learning Yue Wang Shaofeng Zou 81 71 0 15 May 2022
Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model J. Li Tongzheng Ren Dong Yan Hang Su Jun Zhu 26 7 0 13 Mar 2022
Robust Policy Learning over Multiple Uncertainty Sets Annie Xie Shagun Sodhani Chelsea Finn Joelle Pineau Amy Zhang OOD OffRL 35 18 0 14 Feb 2022
Robust Imitation Learning from Corrupted Demonstrations Liu Liu Ziyang Tang Lanqing Li Dijun Luo 49 12 0 29 Jan 2022
Sample Complexity of Robust Reinforcement Learning with a Generative Model Kishan Panaganti D. Kalathil 98 71 0 02 Dec 2021
Twice regularized MDPs and the equivalence between robustness and regularization E. Derman Matthieu Geist Shie Mannor 53 55 0 12 Oct 2021
Online Robust Reinforcement Learning with Model Uncertainty Yue Wang Shaofeng Zou OOD OffRL 76 100 0 29 Sep 2021
Online Algorithms and Policies Using Adaptive and Machine Learning Approaches Anuradha M. Annaswamy A. Guha Yingnan Cui Sunbochen Tang Peter A. Fisher Joseph E. Gaudio 46 19 0 13 May 2021
Robust Reinforcement Learning under model misspecification Lebin Yu Jian Wang Xudong Zhang OOD 40 2 0 29 Mar 2021
Disturbing Reinforcement Learning Agents with Corrupted Rewards Rubén Majadas Javier A. García Fernando Fernández AAML 38 6 0 12 Feb 2021
MRAC-RL: A Framework for On-Line Policy Adaptation Under Parametric Model Uncertainty A. Guha Anuradha M. Annaswamy 31 12 0 20 Nov 2020
Robust Reinforcement Learning using Least Squares Policy Iteration with Provable Performance Guarantees Kishan Panaganti D. Kalathil 32 4 0 20 Jun 2020
Distributional Robustness and Regularization in Reinforcement Learning E. Derman Shie Mannor 32 44 0 05 Mar 2020
Towards Deployment of Robust AI Agents for Human-Machine Partnerships Ahana Ghosh Sebastian Tschiatschek Hamed Mahdavi Adish Singla 39 9 0 05 Oct 2019
A Bayesian Approach to Robust Reinforcement Learning E. Derman D. Mankowitz Timothy A. Mann Shie Mannor 28 58 0 20 May 2019
Distributionally Robust Reinforcement Learning E. Smirnova Elvis Dohmatob Jérémie Mary OffRL 29 58 0 23 Feb 2019
Assessing Generalization in Deep Reinforcement Learning Charles Packer Katelyn Gao Jernej Kos Philipp Krahenbuhl V. Koltun D. Song OffRL 20 234 0 29 Oct 2018
Reinforcement Learning with Perturbed Rewards Jingkang Wang Yang Liu Yue Liu NoLa 33 127 0 02 Oct 2018
Soft-Robust Actor-Critic Policy-Gradient E. Derman D. Mankowitz Timothy A. Mann Shie Mannor 11 62 0 11 Mar 2018
Safe Policy Improvement with Baseline Bootstrapping Romain Laroche P. Trichelair Rémi Tachet des Combes OffRL 32 198 0 19 Dec 2017