Partial Policy Iteration for L1-Robust Markov Decision Processes

16 June 2020

Papers citing "Partial Policy Iteration for L1-Robust Markov Decision Processes"

16 / 16 papers shown

Title
Qualitative Analysis of $ω$ -Regular Objectives on Robust MDPs Ali Asadi Krishnendu Chatterjee Ehsan Kafshdar Goharshady Mehrdad Karrabi Ali Shafiee 52 0 0 07 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 60 0 0 13 Feb 2025
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 77 1 0 29 Aug 2024
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation Wenhao Ding Laixi Shi Yuejie Chi Ding Zhao OOD 39 18 0 15 Jul 2023
Twice Regularized Markov Decision Processes: The Equivalence between Robustness and Regularization E. Derman Yevgeniy Men M. Geist Shie Mannor 47 1 0 12 Mar 2023
Reducing Blackwell and Average Optimality to Discounted MDPs via the Blackwell Discount Factor Julien Grand-Clément Marko Petrik 35 14 0 31 Jan 2023
An Efficient Solution to s-Rectangular Robust Markov Decision Processes Navdeep Kumar Kfir Y. Levy Kaixin Wang Shie Mannor 36 2 0 31 Jan 2023
Policy Gradient for Rectangular Robust Markov Decision Processes Navdeep Kumar E. Derman M. Geist Kfir Y. Levy Shie Mannor 31 20 0 31 Jan 2023
Robust Average-Reward Markov Decision Processes Yue Wang Alvaro Velasquez George Atia Ashley Prater-Bennette Shaofeng Zou 44 12 0 02 Jan 2023
First-order Policy Optimization for Robust Markov Decision Process Yan Li Guanghui Lan Tuo Zhao 77 23 0 21 Sep 2022
Distributionally Robust Offline Reinforcement Learning with Linear Function Approximation Xiaoteng Ma Zhipeng Liang Jose H. Blanchet MingWen Liu Li Xia Jiheng Zhang Qianchuan Zhao Zhengyuan Zhou OOD OffRL 43 22 0 14 Sep 2022
RASR: Risk-Averse Soft-Robust MDPs with EVaR and Entropic Risk J. Hau Marek Petrik Mohammad Ghavamzadeh R. Russel 37 5 0 09 Sep 2022
Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity Laixi Shi Yuejie Chi OOD OffRL 42 63 0 11 Aug 2022
The Geometry of Robust Value Functions Kaixin Wang Navdeep Kumar Kuangqi Zhou Bryan Hooi Jiashi Feng Shie Mannor AAML 27 7 0 30 Jan 2022
Soft-Robust Algorithms for Batch Reinforcement Learning Elita Lobo Mohammad Ghavamzadeh Marek Petrik OffRL 38 4 0 30 Nov 2020
Bayesian Robust Optimization for Imitation Learning Daniel S. Brown S. Niekum Marek Petrik 32 32 0 24 Jul 2020