Linear Mixture Distributionally Robust Markov Decision Processes

23 May 2025

Papers citing "Linear Mixture Distributionally Robust Markov Decision Processes"

26 / 26 papers shown

Title
Robust Offline Reinforcement Learning with Linearly Structured $f$ -Divergence Regularization Cheng Tang Zhishuai Liu Pan Xu OffRL 101 2 0 27 Nov 2024
Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Yihong Guo Yixuan Wang Yuanyuan Shi Pan Xu Anqi Liu 67 5 0 15 Nov 2024
Upper and Lower Bounds for Distributionally Robust Off-Dynamics Reinforcement Learning Zhishuai Liu Weixin Wang Pan Xu 90 5 0 30 Sep 2024
Time-Constrained Robust MDPs Adil Zouitine David Bertoin Pierre Clavier Matthieu Geist Emmanuel Rachelson OOD 57 1 0 12 Jun 2024
Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithm Miao Lu Han Zhong Tong Zhang Jose H. Blanchet OffRL OOD 98 10 0 04 Apr 2024
Sample Complexity of Offline Distributionally Robust Linear Markov Decision Processes He Wang Laixi Shi Yuejie Chi OffRL 67 9 0 19 Mar 2024
Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition Long-Fei Li Peng Zhao Zhi Zhou 83 6 0 07 Mar 2024
Distributionally Robust Off-Dynamics Reinforcement Learning: Provable Efficiency with Linear Function Approximation Zhishuai Liu Pan Xu OOD OffRL 81 11 0 23 Feb 2024
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 64 8 0 27 Oct 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 93 25 0 17 Jul 2023
Policy Gradient Algorithms for Robust MDPs with Non-Rectangular Uncertainty Sets Mengmeng Li Daniel Kuhn Tobias Sutter 57 11 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 81 38 0 26 May 2023
Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage Jose H. Blanchet Miao Lu Tong Zhang Han Zhong OffRL 102 32 0 16 May 2023
Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning Zaiyan Xu Kishan Panaganti D. Kalathil OOD OffRL 57 39 0 05 Mar 2023
Distributionally Robust Offline Reinforcement Learning with Linear Function Approximation Xiaoteng Ma Zhipeng Liang Jose H. Blanchet MingWen Liu Li Xia Jiheng Zhang Qianchuan Zhao Zhengyuan Zhou OOD OffRL 81 26 0 14 Sep 2022
Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity Laixi Shi Yuejie Chi OOD OffRL 83 71 0 11 Aug 2022
Reward-Free Model-Based Reinforcement Learning with Linear Function Approximation Weitong Zhang Dongruo Zhou Quanquan Gu OffRL 57 28 0 12 Oct 2021
Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage Masatoshi Uehara Wen Sun OffRL 141 150 0 13 Jul 2021
Nearly Minimax Optimal Reinforcement Learning for Linear Mixture Markov Decision Processes Dongruo Zhou Quanquan Gu Csaba Szepesvári 74 209 0 15 Dec 2020
Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey Wenshuai Zhao Jorge Peña Queralta Tomi Westerlund OffRL 201 742 0 24 Sep 2020
Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers Benjamin Eysenbach Swapnil Asawa Shreyas Chaudhari Sergey Levine Ruslan Salakhutdinov 75 94 0 24 Jun 2020
Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping Dongruo Zhou Jiafan He Quanquan Gu 77 136 0 23 Jun 2020
Model-Based Reinforcement Learning with Value-Targeted Regression Alex Ayoub Zeyu Jia Csaba Szepesvári Mengdi Wang Lin F. Yang OffRL 94 305 0 01 Jun 2020
Provably Efficient Exploration in Policy Optimization Qi Cai Zhuoran Yang Chi Jin Zhaoran Wang 66 283 0 12 Dec 2019
Assessing Generalization in Deep Reinforcement Learning Charles Packer Katelyn Gao Jernej Kos Philipp Krahenbuhl V. Koltun Basel Alomair OffRL 114 238 0 29 Oct 2018
Mutual Alignment Transfer Learning Markus Wulfmeier Ingmar Posner Pieter Abbeel 115 61 0 25 Jul 2017