Distributionally Robust Constrained Reinforcement Learning under Strong
Duality

Distributionally Robust Constrained Reinforcement Learning under Strong Duality

22 June 2024

Kishan Panaganti

Laixi Shi

Adam Wierman

Yisong Yue

Papers citing "Distributionally Robust Constrained Reinforcement Learning under Strong Duality"

11 / 11 papers shown

Title
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
Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity Laixi Shi Yuejie Chi OOD OffRL 46 66 0 11 Aug 2022
Policy Gradient Method For Robust Reinforcement Learning Yue Wang Shaofeng Zou 83 73 0 15 May 2022
Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation Aivar Sootla Alexander I. Cowen-Rivers Taher Jafferjee Ziyan Wang D. Mguni Jun Wang Haitham Bou-Ammar 48 54 0 14 Feb 2022
Sample Complexity of Robust Reinforcement Learning with a Generative Model Kishan Panaganti D. Kalathil 98 74 0 02 Dec 2021
Safe Policy Optimization with Local Generalized Linear Function Approximations Akifumi Wachi Yunyue Wei Yanan Sui OffRL 38 10 0 09 Nov 2021
Online Robust Reinforcement Learning with Model Uncertainty Yue Wang Shaofeng Zou OOD OffRL 92 102 0 29 Sep 2021
Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning Lukas Brunke Melissa Greeff Adam W. Hall Zhaocong Yuan Siqi Zhou Jacopo Panerati Angela P. Schoellig OffRL 41 610 0 13 Aug 2021
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review Florian Tambon Gabriel Laberge Le An Amin Nikanjam Paulina Stevia Nouwou Mindom Y. Pequignot Foutse Khomh G. Antoniol E. Merlo François Laviolette 44 68 0 26 Jul 2021
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization Dongsheng Ding Xiaohan Wei Zhuoran Yang Zhaoran Wang M. Jovanović 56 162 0 01 Mar 2020
A Theory of Regularized Markov Decision Processes Matthieu Geist B. Scherrer Olivier Pietquin 74 317 0 31 Jan 2019