Distributionally Robust Reinforcement Learning with Interactive Data
Collection: Fundamental Hardness and Near-Optimal Algorithm

Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithm

Neural Information Processing Systems (NeurIPS), 2024

4 April 2024

Tong Zhang

Jose H. Blanchet

ArXiv (abs)PDF HTML

Papers citing "Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithm"

14 / 14 papers shown

Title
Distributionally Robust Online Markov Game with Linear Function Approximation Zewu Zheng Yuanyuan Lin OOD OffRL 220 0 0 11 Nov 2025
Distributionally Robust Self Paced Curriculum Reinforcement Learning Anirudh Satheesh Keenan Powell Vaneet Aggarwal OOD OffRL 396 0 0 07 Nov 2025
Robust Reinforcement Learning in Finance: Modeling Market Impact with Elliptic Uncertainty Sets Shaocong Ma Heng Huang OOD AIFin OffRL 161 0 0 22 Oct 2025
Rectified Robust Policy Optimization for Model-Uncertain Constrained Reinforcement Learning without Strong Duality Shaocong Ma Ziyi Chen Yi Zhou Heng Huang OffRL 128 4 0 24 Aug 2025
ORVIT: Near-Optimal Online Distributionally Robust Reinforcement Learning Debamita Ghosh George Atia Yue Wang OffRL OOD 195 2 0 05 Aug 2025
Online Robust Multi-Agent Reinforcement Learning under Model Uncertainties Zain Ulabedeen Farhat Debamita Ghosh George Atia Yue Wang 114 1 0 04 Aug 2025
MOBODY: Model Based Off-Dynamics Offline Reinforcement Learning Yihong Guo Yu Yang Pan Xu Anqi Liu OffRL 148 1 0 10 Jun 2025
Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning Chi Zhang Ziying Jia George Atia Sihong He Yue Wang 325 1 0 24 May 2025
Linear Mixture Distributionally Robust Markov Decision Processes Zhishuai Liu Pan Xu 246 3 0 23 May 2025
Causality-Inspired Robustness for Nonlinear Models via Representation Learning Marin Šola Peter Bühlmann Xinwei Shen OOD 242 2 0 19 May 2025
Provably Sample-Efficient Robust Reinforcement Learning with Average Reward Zachary Roch Chi Zhang George Atia Yue Wang 241 0 0 18 May 2025
A Model Selection Approach for Corruption Robust Reinforcement LearningInternational Conference on Algorithmic Learning Theory (ALT), 2021 Chen-Yu Wei Christoph Dann Julian Zimmert 265 48 0 31 Dec 2024
Upper and Lower Bounds for Distributionally Robust Off-Dynamics Reinforcement Learning Zhishuai Liu Weixin Wang Pan Xu 286 12 0 30 Sep 2024
Settling the Sample Complexity of Online Reinforcement LearningAnnual Conference Computational Learning Theory (COLT), 2023 Zihan Zhang Yuxin Chen Jason D. Lee S. Du OffRL 634 34 0 25 Jul 2023