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Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form

29 August 2024

Yutaka Matsuo

Papers citing "Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form"

46 / 46 papers shown

Title
Efficient Policy Optimization in Robust Constrained MDPs with Iteration Complexity Guarantees Sourav Ganguly Arnob Ghosh Kishan Panaganti Adam Wierman 20 0 0 25 May 2025
Distributionally Robust Constrained Reinforcement Learning under Strong Duality Zhengfei Zhang Kishan Panaganti Laixi Shi Yanan Sui Adam Wierman Yisong Yue OOD 72 5 0 22 Jun 2024
Constrained Reinforcement Learning Under Model Mismatch Zhongchang Sun Sihong He Fei Miao Shaofeng Zou 67 6 0 02 May 2024
Truly No-Regret Learning in Constrained MDPs Adrian Müller Pragnya Alatur Volkan Cevher Giorgia Ramponi Niao He 64 10 0 24 Feb 2024
A Policy Gradient Primal-Dual Algorithm for Constrained MDPs with Uniform PAC Guarantees Toshinori Kitamura Tadashi Kozuno Masahiro Kato Yuki Ichihara Soichiro Nishimori Akiyoshi Sannai Sho Sonoda Wataru Kumagai Yutaka Matsuo 64 3 0 31 Jan 2024
Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs Dongsheng Ding Chen-Yu Wei Kai Zhang Alejandro Ribeiro 94 22 0 20 Jun 2023
Solving Stabilize-Avoid Optimal Control via Epigraph Form and Deep Reinforcement Learning Oswin So Chuchu Fan 36 24 0 23 May 2023
Towards Minimax Optimality of Model-based Robust Reinforcement Learning Pierre Clavier E. L. Pennec Matthieu Geist 77 14 0 10 Feb 2023
ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs Theodore H. Moskovitz Brendan O'Donoghue Vivek Veeriah Sebastian Flennerhag Satinder Singh Tom Zahavy 89 21 0 02 Feb 2023
Robust Markov Decision Processes without Model Estimation Wenhao Yang Hanfengzhai Wang Tadashi Kozuno S. Jordan Zhihua Zhang 83 4 0 02 Feb 2023
Policy Gradient for Rectangular Robust Markov Decision Processes Navdeep Kumar E. Derman Matthieu Geist Kfir Y. Levy Shie Mannor 59 22 0 31 Jan 2023
Policy Gradient in Robust MDPs with Global Convergence Guarantee Qiuhao Wang C. Ho Marek Petrik 87 29 0 20 Dec 2022
First-order Policy Optimization for Robust Markov Decision Process Yan Li Guanghui Lan Tuo Zhao 118 25 0 21 Sep 2022
On the convex formulations of robust Markov decision processes Julien Grand-Clément Marek Petrik 74 11 0 21 Sep 2022
Robust Constrained Reinforcement Learning Yue Wang Fei Miao Shaofeng Zou 57 14 0 14 Sep 2022
Efficient Policy Iteration for Robust Markov Decision Processes via Regularization Navdeep Kumar Kfir Y. Levy Kaixin Wang Shie Mannor 64 19 0 28 May 2022
Policy Gradient Method For Robust Reinforcement Learning Yue Wang Shaofeng Zou 113 77 0 15 May 2022
Robust Entropy-regularized Markov Decision Processes Tien Mai Patrick Jaillet 23 5 0 31 Dec 2021
Sample Complexity of Robust Reinforcement Learning with a Generative Model Kishan Panaganti D. Kalathil 133 77 0 02 Dec 2021
DOPE: Doubly Optimistic and Pessimistic Exploration for Safe Reinforcement Learning Archana Bura Aria HasanzadeZonuzy D. Kalathil S. Shakkottai J. Chamberland 80 29 0 01 Dec 2021
Faster Algorithm and Sharper Analysis for Constrained Markov Decision Process Tianjiao Li Ziwei Guan Shaofeng Zou Tengyu Xu Yingbin Liang Guanghui Lan 61 30 0 20 Oct 2021
A Dual Approach to Constrained Markov Decision Processes with Entropy Regularization Donghao Ying Yuhao Ding Javad Lavaei 40 34 0 17 Oct 2021
Twice regularized MDPs and the equivalence between robustness and regularization E. Derman Matthieu Geist Shie Mannor 92 57 0 12 Oct 2021
Online Robust Reinforcement Learning with Model Uncertainty Yue Wang Shaofeng Zou OOD OffRL 125 109 0 29 Sep 2021
Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs Tao-Wen Liu Ruida Zhou D. Kalathil P. R. Kumar Chao Tian 70 84 0 04 Jun 2021
A Provably-Efficient Model-Free Algorithm for Constrained Markov Decision Processes Honghao Wei Xin Liu Lei Ying 83 23 0 03 Jun 2021
Reward is enough for convex MDPs Tom Zahavy Brendan O'Donoghue Guillaume Desjardins Satinder Singh 106 75 0 01 Jun 2021
Bilinear Classes: A Structural Framework for Provable Generalization in RL S. Du Sham Kakade Jason D. Lee Shachar Lovett G. Mahajan Wen Sun Ruosong Wang OffRL 171 191 0 19 Mar 2021
Robust Constrained Reinforcement Learning for Continuous Control with Model Misspecification D. Mankowitz D. A. Calian Rae Jeong Cosmin Paduraru N. Heess Sumanth Dathathri Martin Riedmiller Timothy A. Mann 82 14 0 20 Oct 2020
Robust Constrained-MDPs: Soft-Constrained Robust Policy Optimization under Model Uncertainty R. Russel M. Benosman J. Baar 63 22 0 10 Oct 2020
Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs Aria HasanzadeZonuzy Archana Bura D. Kalathil S. Shakkottai 52 40 0 01 Aug 2020
Partial Policy Iteration for L1-Robust Markov Decision Processes C. Ho Marek Petrik W. Wiesemann 108 54 0 16 Jun 2020
On the Global Convergence Rates of Softmax Policy Gradient Methods Jincheng Mei Chenjun Xiao Csaba Szepesvári Dale Schuurmans 140 294 0 13 May 2020
Scalable First-Order Methods for Robust MDPs Julien Grand-Clément Christian Kroer 54 28 0 11 May 2020
Exploration-Exploitation in Constrained MDPs Yonathan Efroni Shie Mannor Matteo Pirotta 117 181 0 04 Mar 2020
Constrained Upper Confidence Reinforcement Learning Liyuan Zheng Lillian J. Ratliff 84 68 0 26 Jan 2020
Reinforcement Learning via Fenchel-Rockafellar Duality Ofir Nachum Bo Dai OffRL 148 122 0 07 Jan 2020
Safe Policies for Reinforcement Learning via Primal-Dual Methods Santiago Paternain Miguel Calvo-Fullana Luiz F. O. Chamon Alejandro Ribeiro 62 105 0 20 Nov 2019
Constrained Reinforcement Learning Has Zero Duality Gap Santiago Paternain Luiz F. O. Chamon Miguel Calvo-Fullana Alejandro Ribeiro 56 193 0 29 Oct 2019
Reinforcement Learning with Convex Constraints Sobhan Miryoosefi Kianté Brantley Hal Daumé Miroslav Dudík Robert Schapire 51 92 0 21 Jun 2019
Global Optimality Guarantees For Policy Gradient Methods Jalaj Bhandari Daniel Russo 82 193 0 05 Jun 2019
Batch Policy Learning under Constraints Hoang Minh Le Cameron Voloshin Yisong Yue OffRL 60 333 0 20 Mar 2019
Reward Constrained Policy Optimization Chen Tessler D. Mankowitz Shie Mannor 83 541 0 28 May 2018
Robust Nonparametric Regression under Huber's $ε$ -contamination Model S. Du Yining Wang Sivaraman Balakrishnan Pradeep Ravikumar Aarti Singh 47 12 0 26 May 2018
Constrained Policy Optimization Joshua Achiam David Held Aviv Tamar Pieter Abbeel 117 1,328 0 30 May 2017
Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning Christoph Dann Tor Lattimore Emma Brunskill 76 311 0 22 Mar 2017