Policy Gradient Algorithms for Robust MDPs with Non-Rectangular Uncertainty Sets

30 May 2023

Papers citing "Policy Gradient Algorithms for Robust MDPs with Non-Rectangular Uncertainty Sets"

10 / 10 papers shown

Title
Towards Optimal Offline Reinforcement Learning Mengmeng Li Daniel Kuhn Tobias Sutter OffRL 48 0 0 15 Mar 2025
Time-Constrained Robust MDPs Adil Zouitine David Bertoin Pierre Clavier Matthieu Geist Emmanuel Rachelson OOD 29 0 0 12 Jun 2024
Bootstrapping Expectiles in Reinforcement Learning Pierre Clavier Emmanuel Rachelson E. L. Pennec Matthieu Geist OffRL 33 0 0 06 Jun 2024
Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity Runyu Zhang Yang Hu Na Li 30 5 0 20 Jun 2023
First-order Policy Optimization for Robust Markov Decision Process Yan Li Guanghui Lan Tuo Zhao 58 23 0 21 Sep 2022
On the convex formulations of robust Markov decision processes Julien Grand-Clément Marek Petrik 38 10 0 21 Sep 2022
Policy Gradient Method For Robust Reinforcement Learning Yue Wang Shaofeng Zou 79 67 0 15 May 2022
Policy Mirror Descent for Reinforcement Learning: Linear Convergence, New Sampling Complexity, and Generalized Problem Classes Guanghui Lan 81 135 0 30 Jan 2021
Independent Policy Gradient Methods for Competitive Reinforcement Learning C. Daskalakis Dylan J. Foster Noah Golowich 48 158 0 11 Jan 2021
On Linear Convergence of Policy Gradient Methods for Finite MDPs Jalaj Bhandari Daniel Russo 45 59 0 21 Jul 2020