Regularized Policies are Reward Robust

18 January 2021

Papers citing "Regularized Policies are Reward Robust"

8 / 8 papers shown

Title
Behind the Myth of Exploration in Policy Gradients Adrien Bolland Gaspard Lambrechts Damien Ernst 56 0 0 31 Jan 2024
Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice Toshinori Kitamura Tadashi Kozuno Yunhao Tang Nino Vieillard Michal Valko ... Olivier Pietquin M. Geist Csaba Szepesvári Wataru Kumagai Yutaka Matsuo OffRL 30 2 0 22 May 2023
Policy Gradient Algorithms Implicitly Optimize by Continuation Adrien Bolland Gilles Louppe D. Ernst 39 3 0 11 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
Policy Gradient for Rectangular Robust Markov Decision Processes Navdeep Kumar E. Derman M. Geist Kfir Y. Levy Shie Mannor 26 19 0 31 Jan 2023
Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization Yuan Zhang Jianhong Wang Joschka Boedecker 36 3 0 05 Jul 2022
Model-Free Risk-Sensitive Reinforcement Learning Grégoire Delétang Jordi Grau-Moya M. Kunesch Tim Genewein Rob Brekelmans Shane Legg Pedro A. Ortega OOD 10 9 0 04 Nov 2021
Twice regularized MDPs and the equivalence between robustness and regularization E. Derman M. Geist Shie Mannor 53 54 0 12 Oct 2021