Regularized Policies are Reward Robust

18 January 2021

Papers citing "Regularized Policies are Reward Robust"

11 / 11 papers shown

Title
Robust Reinforcement Learning for Discrete Compositional Generation via General Soft Operators Marco Jiralerspong E. Derman Danilo Vucetic Nikolay Malkin Bilun Sun Tianyu Zhang Pierre-Luc Bacon Gauthier Gidel OffRL 19 0 0 20 Jun 2025
Behind the Myth of Exploration in Policy Gradients Adrien Bolland Gaspard Lambrechts Damien Ernst 124 0 0 31 Jan 2024
Twice Regularized Markov Decision Processes: The Equivalence between Robustness and Regularization E. Derman Yevgeniy Men Matthieu Geist Shie Mannor 66 2 0 12 Mar 2023
On the convex formulations of robust Markov decision processes Julien Grand-Clément Marek Petrik 98 11 0 21 Sep 2022
Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization Yuan Zhang Jianhong Wang Joschka Boedecker 110 3 0 05 Jul 2022
Robust Reinforcement Learning with Distributional Risk-averse formulation Pierre Clavier S. Allassonnière E. L. Pennec OOD 80 7 0 14 Jun 2022
Efficient Policy Iteration for Robust Markov Decision Processes via Regularization Navdeep Kumar Kfir Y. Levy Kaixin Wang Shie Mannor 72 19 0 28 May 2022
Your Policy Regularizer is Secretly an Adversary Rob Brekelmans Tim Genewein Jordi Grau-Moya Grégoire Delétang M. Kunesch Shane Legg Pedro A. Ortega AAML 80 14 0 23 Mar 2022
ShinRL: A Library for Evaluating RL Algorithms from Theoretical and Practical Perspectives Toshinori Kitamura Ryo Yonetani OffRL 141 4 0 08 Dec 2021
Model-Free Risk-Sensitive Reinforcement Learning Grégoire Delétang Jordi Grau-Moya M. Kunesch Tim Genewein Rob Brekelmans Shane Legg Pedro A. Ortega OOD 84 10 0 04 Nov 2021
Twice regularized MDPs and the equivalence between robustness and regularization E. Derman Matthieu Geist Shie Mannor 123 58 0 12 Oct 2021