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"

27 / 27 papers shown

Title
Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning Chi Zhang Ziying Jia George Atia Sihong He Yue Wang 21 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 67 0 0 13 Feb 2025
Decoding Game: On Minimax Optimality of Heuristic Text Generation Strategies Sijin Chen Omar Hagrass Jason M. Klusowski 60 4 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 79 2 0 29 Aug 2024
Regularized Q-Learning with Linear Function Approximation Jiachen Xi Alfredo Garcia P. Momcilovic 64 2 0 26 Jan 2024
User-Oriented Robust Reinforcement Learning Haoyi You Beichen Yu Haiming Jin Zhaoxing Yang Jiahui Sun OffRL 40 0 0 15 Feb 2022
Maximum Entropy RL (Provably) Solves Some Robust RL Problems Benjamin Eysenbach Sergey Levine OOD 55 179 0 10 Mar 2021
Regularized Policies are Reward Robust Hisham Husain K. Ciosek Ryota Tomioka 19 23 0 18 Jan 2021
Scalable First-Order Methods for Robust MDPs Julien Grand-Clément Christian Kroer 24 28 0 11 May 2020
Distributional Robustness and Regularization in Reinforcement Learning E. Derman Shie Mannor 34 44 0 05 Mar 2020
Reinforcement Learning via Fenchel-Rockafellar Duality Ofir Nachum Bo Dai OffRL 48 119 0 07 Jan 2020
Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs Lior Shani Yonathan Efroni Shie Mannor 28 175 0 06 Sep 2019
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning Daniel Kuhn Peyman Mohajerin Esfahani Viet Anh Nguyen Soroosh Shafieezadeh-Abadeh OOD 30 392 0 23 Aug 2019
A Theory of Regularized Markov Decision Processes Matthieu Geist B. Scherrer Olivier Pietquin 76 317 0 31 Jan 2019
Action Robust Reinforcement Learning and Applications in Continuous Control Chen Tessler Yonathan Efroni Shie Mannor 41 232 0 26 Jan 2019
Soft-Robust Actor-Critic Policy-Gradient E. Derman D. Mankowitz Timothy A. Mann Shie Mannor 21 62 0 11 Mar 2018
Differentiable Dynamic Programming for Structured Prediction and Attention A. Mensch Mathieu Blondel 40 129 0 11 Feb 2018
Learning Robust Options D. Mankowitz Timothy A. Mann Pierre-Luc Bacon Doina Precup Shie Mannor 22 48 0 09 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 167 8,236 0 04 Jan 2018
Sparse Markov Decision Processes with Causal Sparse Tsallis Entropy Regularization for Reinforcement Learning Kyungjae Lee Sungjoon Choi Songhwai Oh 35 67 0 19 Sep 2017
Reinforcement Learning under Model Mismatch Aurko Roy Huan Xu Sebastian Pokutta OOD 34 80 0 15 Jun 2017
Robust Adversarial Reinforcement Learning Lerrel Pinto James Davidson Rahul Sukthankar Abhinav Gupta OOD 67 848 0 08 Mar 2017
Reinforcement Learning with Deep Energy-Based Policies Tuomas Haarnoja Haoran Tang Pieter Abbeel Sergey Levine 42 1,329 0 27 Feb 2017
Distributionally Robust Logistic Regression Soroosh Shafieezadeh-Abadeh Peyman Mohajerin Esfahani Daniel Kuhn OOD 33 304 0 30 Sep 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 214 6,722 0 19 Feb 2015
Lightning Does Not Strike Twice: Robust MDPs with Coupled Uncertainty Shie Mannor O. Mebel Huan Xu 41 67 0 18 Jun 2012
Robustness and Regularization of Support Vector Machines Huan Xu Constantine Caramanis Shie Mannor 85 471 0 25 Mar 2008