Distributional Robustness and Regularization in Reinforcement Learning

5 March 2020

Papers citing "Distributional Robustness and Regularization in Reinforcement Learning"

28 / 28 papers shown

Title
DR-PETS: Learning-Based Control With Planning in Adversarial Environments Hozefa Jesawada Antonio Acernese G. Russo C. D. Vecchio 66 0 0 26 Mar 2025
Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning Shangding Gu Laixi Shi Muning Wen Ming Jin Eric Mazumdar Yuejie Chi Adam Wierman C. Spanos OOD OffRL 36 1 0 27 Feb 2025
Bootstrapping Expectiles in Reinforcement Learning Pierre Clavier Emmanuel Rachelson E. L. Pennec Matthieu Geist OffRL 46 0 0 06 Jun 2024
Sample Complexity of Offline Distributionally Robust Linear Markov Decision Processes He Wang Laixi Shi Yuejie Chi OffRL 36 6 0 19 Mar 2024
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation Wenhao Ding Laixi Shi Yuejie Chi Ding Zhao OOD 27 18 0 15 Jul 2023
Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity Runyu Zhang Yang Hu Na Li 41 5 0 20 Jun 2023
The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model Laixi Shi Gen Li Yuting Wei Yuxin Chen M. Geist Yuejie Chi OOD 30 31 0 26 May 2023
Twice Regularized Markov Decision Processes: The Equivalence between Robustness and Regularization E. Derman Yevgeniy Men M. Geist Shie Mannor 42 1 0 12 Mar 2023
Towards Minimax Optimality of Model-based Robust Reinforcement Learning Pierre Clavier E. L. Pennec M. Geist 35 12 0 10 Feb 2023
An Efficient Solution to s-Rectangular Robust Markov Decision Processes Navdeep Kumar Kfir Y. Levy Kaixin Wang Shie Mannor 36 2 0 31 Jan 2023
Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning James Queeney M. Benosman OOD OffRL 35 5 0 30 Jan 2023
Risk-Averse MDPs under Reward Ambiguity Haolin Ruan Zhi Chen C. Ho 33 2 0 03 Jan 2023
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Bo-wen Li Ding Zhao 74 45 0 16 Sep 2022
Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity Laixi Shi Yuejie Chi OOD OffRL 15 59 0 11 Aug 2022
Robust Reinforcement Learning with Distributional Risk-averse formulation Pierre Clavier S. Allassonnière E. L. Pennec OOD 39 7 0 14 Jun 2022
Efficient Policy Iteration for Robust Markov Decision Processes via Regularization Navdeep Kumar Kfir Y. Levy Kaixin Wang Shie Mannor 21 18 0 28 May 2022
Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning L. Pullum 13 2 0 22 Mar 2022
A Unified Wasserstein Distributional Robustness Framework for Adversarial Training Tu Bui Trung Le Quan Hung Tran He Zhao Dinh Q. Phung AAML OOD 31 42 0 27 Feb 2022
Learning Provably Robust Motion Planners Using Funnel Libraries Alim Gurgen Anirudha Majumdar Sushant Veer OOD 17 2 0 16 Nov 2021
Twice regularized MDPs and the equivalence between robustness and regularization E. Derman M. Geist Shie Mannor 53 52 0 12 Oct 2021
Sinkhorn Distributionally Robust Optimization Jie Wang Rui Gao Yao Xie 46 35 0 24 Sep 2021
Distributionally Robust Learning Ruidi Chen I. Paschalidis OOD 25 65 0 20 Aug 2021
Algorithmic Bias and Data Bias: Understanding the Relation between Distributionally Robust Optimization and Data Curation Agnieszka Słowik Léon Bottou FaML 45 19 0 17 Jun 2021
Distributionally Robust Optimization with Markovian Data Mengmeng Li Tobias Sutter Daniel Kuhn 12 9 0 12 Jun 2021
Towards Theoretical Understandings of Robust Markov Decision Processes: Sample Complexity and Asymptotics Wenhao Yang Liangyu Zhang Zhihua Zhang 26 33 0 09 May 2021
On the Optimality of Batch Policy Optimization Algorithms Chenjun Xiao Yifan Wu Tor Lattimore Bo Dai Jincheng Mei Lihong Li Csaba Szepesvári Dale Schuurmans OffRL 28 33 0 06 Apr 2021
Finite-Sample Guarantees for Wasserstein Distributionally Robust Optimization: Breaking the Curse of Dimensionality Rui Gao 21 88 0 09 Sep 2020
A General Framework for Learning Mean-Field Games Xin Guo Anran Hu Renyuan Xu Junzi Zhang OffRL AI4CE 29 49 0 13 Mar 2020