Policy Gradient in Robust MDPs with Global Convergence Guarantee

20 December 2022

Papers citing "Policy Gradient in Robust MDPs with Global Convergence Guarantee"

11 / 11 papers shown

Title
Qualitative Analysis of $ω$ -Regular Objectives on Robust MDPs Ali Asadi Krishnendu Chatterjee Ehsan Kafshdar Goharshady Mehrdad Karrabi Ali Shafiee 47 0 0 07 May 2025
Robust Reinforcement Learning with Dynamic Distortion Risk Measures Anthony Coache S. Jaimungal 25 1 0 16 Sep 2024
Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form Toshinori Kitamura Tadashi Kozuno Wataru Kumagai Kenta Hoshino Y. Hosoe Kazumi Kasaura Masashi Hamaya Paavo Parmas Yutaka Matsuo 72 0 0 29 Aug 2024
Constrained Reinforcement Learning Under Model Mismatch Zhongchang Sun Sihong He Fei Miao Shaofeng Zou 40 4 0 02 May 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 73 4 0 04 Apr 2024
First-order Policy Optimization for Robust Markov Decision Process Yan Li Guanghui Lan Tuo Zhao 75 23 0 21 Sep 2022
Policy Gradient Method For Robust Reinforcement Learning Yue Wang Shaofeng Zou 81 67 0 15 May 2022
Twice regularized MDPs and the equivalence between robustness and regularization E. Derman M. Geist Shie Mannor 53 52 0 12 Oct 2021
Online Robust Reinforcement Learning with Model Uncertainty Yue Wang Shaofeng Zou OOD OffRL 73 96 0 29 Sep 2021
Independent Policy Gradient Methods for Competitive Reinforcement Learning C. Daskalakis Dylan J. Foster Noah Golowich 62 158 0 11 Jan 2021
On Linear Convergence of Policy Gradient Methods for Finite MDPs Jalaj Bhandari Daniel Russo 55 59 0 21 Jul 2020