Twice regularized MDPs and the equivalence between robustness and regularization

12 October 2021

Papers citing "Twice regularized MDPs and the equivalence between robustness and regularization"

21 / 21 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 33 0 0 20 Jun 2025
Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning Chi Zhang Ziying Jia George Atia Sihong He Yue Wang 133 0 0 24 May 2025
Dual Formulation for Non-Rectangular Lp Robust Markov Decision Processes Navdeep Kumar Adarsh Gupta Maxence Mohamed Elfatihi Giorgia Ramponi Kfir Y. Levy Shie Mannor 119 1 0 13 Feb 2025
Decoding Game: On Minimax Optimality of Heuristic Text Generation Strategies Sijin Chen Omar Hagrass Jason M. Klusowski 167 5 0 04 Oct 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 182 2 0 29 Aug 2024
RRLS : Robust Reinforcement Learning Suite Adil Zouitine David Bertoin Pierre Clavier Matthieu Geist Emmanuel Rachelson OffRL 90 2 0 12 Jun 2024
Decoupling regularization from the action space Sobhan Mohammadpour Emma Frejinger Pierre-Luc Bacon 87 2 0 10 Jun 2024
Regularized Q-Learning with Linear Function Approximation Jiachen Xi Alfredo Garcia P. Momcilovic 134 2 0 26 Jan 2024
Twice Regularized Markov Decision Processes: The Equivalence between Robustness and Regularization E. Derman Yevgeniy Men Matthieu Geist Shie Mannor 81 2 0 12 Mar 2023
An Efficient Solution to s-Rectangular Robust Markov Decision Processes Navdeep Kumar Kfir Y. Levy Kaixin Wang Shie Mannor 81 4 0 31 Jan 2023
Robust Average-Reward Markov Decision Processes Yue Wang Alvaro Velasquez George Atia Ashley Prater-Bennette Shaofeng Zou 112 14 0 02 Jan 2023
First-order Policy Optimization for Robust Markov Decision Process Yan Li Guanghui Lan Tuo Zhao 174 25 0 21 Sep 2022
On the convex formulations of robust Markov decision processes Julien Grand-Clément Marek Petrik 107 11 0 21 Sep 2022
RASR: Risk-Averse Soft-Robust MDPs with EVaR and Entropic Risk J. Hau Marek Petrik Mohammad Ghavamzadeh R. Russel 97 6 0 09 Sep 2022
Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization Yuan Zhang Jianhong Wang Joschka Boedecker 138 3 0 05 Jul 2022
Robust Reinforcement Learning with Distributional Risk-averse formulation Pierre Clavier S. Allassonnière E. L. Pennec OOD 85 7 0 14 Jun 2022
Efficient Policy Iteration for Robust Markov Decision Processes via Regularization Navdeep Kumar Kfir Y. Levy Kaixin Wang Shie Mannor 74 20 0 28 May 2022
Policy Gradient Method For Robust Reinforcement Learning Yue Wang Shaofeng Zou 143 77 0 15 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 93 14 0 23 Mar 2022
User-Oriented Robust Reinforcement Learning Haoyi You Beichen Yu Haiming Jin Zhaoxing Yang Jiahui Sun OffRL 90 0 0 15 Feb 2022
Maximum Entropy RL (Provably) Solves Some Robust RL Problems Benjamin Eysenbach Sergey Levine OOD 137 193 0 10 Mar 2021