Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient,
and Sample Complexity

Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity

20 June 2023

Na Li

Papers citing "Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity"

8 / 8 papers shown

Title
Policy Gradient Methods for Risk-Sensitive Distributional Reinforcement Learning with Provable Convergence Minheng Xiao Xian Yu Lei Ying 19 2 0 23 May 2024
On the convex formulations of robust Markov decision processes Julien Grand-Clément Marek Petrik 31 10 0 21 Sep 2022
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 59 45 0 16 Sep 2022
Policy Gradient Method For Robust Reinforcement Learning Yue Wang Shaofeng Zou 79 67 0 15 May 2022
Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning Yingjie Fei Zhuoran Yang Yudong Chen Zhaoran Wang 13 46 0 06 Nov 2021
Twice regularized MDPs and the equivalence between robustness and regularization E. Derman M. Geist Shie Mannor 46 52 0 12 Oct 2021
Online Robust Reinforcement Learning with Model Uncertainty Yue Wang Shaofeng Zou OOD OffRL 63 96 0 29 Sep 2021
Exploring the Training Robustness of Distributional Reinforcement Learning against Noisy State Observations Ke Sun Yingnan Zhao Shangling Jui Linglong Kong OOD 27 17 0 17 Sep 2021