Provably Efficient Model-Free Constrained RL with Linear Function Approximation

23 June 2022

Papers citing "Provably Efficient Model-Free Constrained RL with Linear Function Approximation"

19 / 19 papers shown

Title
Provably Efficient RL for Linear MDPs under Instantaneous Safety Constraints in Non-Convex Feature Spaces Amirhossein Roknilamouki A. Ghosh Ming Shi Fatemeh Nourzad Eylem Ekici Ness B. Shroff 69 0 0 25 Feb 2025
Scrutinize What We Ignore: Reining In Task Representation Shift Of Context-Based Offline Meta Reinforcement Learning Hai Zhang Boyuan Zheng Anqi Guo Tianying Ji Anqi Guo Junqiao Zhao Lanqing Li OffRL 39 0 0 20 May 2024
Truly No-Regret Learning in Constrained MDPs Adrian Müller Pragnya Alatur V. Cevher Giorgia Ramponi Niao He 32 7 0 24 Feb 2024
Refining Minimax Regret for Unsupervised Environment Design Michael Beukman Samuel Coward Michael T. Matthews Mattie Fellows Minqi Jiang Michael Dennis Jakob Foerster 28 6 0 19 Feb 2024
Anytime-Competitive Reinforcement Learning with Policy Prior Jianyi Yang Pengfei Li Tongxin Li Adam Wierman Shaolei Ren 46 2 0 02 Nov 2023
Multi-Agent Bayesian Optimization with Coupled Black-Box and Affine Constraints Wenjie Xu Yuning Jiang B. Svetozarevic Colin N. Jones 37 0 0 02 Oct 2023
Model-Free, Regret-Optimal Best Policy Identification in Online CMDPs Zihan Zhou Honghao Wei Lei Ying OffRL 43 1 0 27 Sep 2023
Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs Dongsheng Ding Chen-Yu Wei Kaipeng Zhang Alejandro Ribeiro 49 20 0 20 Jun 2023
A Primal-Dual-Critic Algorithm for Offline Constrained Reinforcement Learning Kihyuk Hong Yuhang Li Ambuj Tewari OffRL 26 7 0 13 Jun 2023
Near-optimal Conservative Exploration in Reinforcement Learning under Episode-wise Constraints Donghao Li Ruiquan Huang Cong Shen Jing Yang 32 3 0 09 Jun 2023
Long-Term Fairness with Unknown Dynamics Tongxin Yin Reilly P. Raab M. Liu Yang Liu FaML 23 24 0 19 Apr 2023
Provably Efficient Model-Free Algorithms for Non-stationary CMDPs Honghao Wei A. Ghosh Ness B. Shroff Lei Ying Xingyu Zhou 19 13 0 10 Mar 2023
A Near-Optimal Algorithm for Safe Reinforcement Learning Under Instantaneous Hard Constraints Ming Shi Yitao Liang Ness B. Shroff 43 8 0 08 Feb 2023
Online Nonstochastic Control with Adversarial and Static Constraints Xin Liu Zixi Yang Lei Ying 39 5 0 05 Feb 2023
Provable Reset-free Reinforcement Learning by No-Regret Reduction Hoai-An Nguyen Ching-An Cheng OffRL 31 2 0 06 Jan 2023
Provably Efficient Model-free RL in Leader-Follower MDP with Linear Function Approximation A. Ghosh 25 1 0 28 Nov 2022
Safe Exploration Incurs Nearly No Additional Sample Complexity for Reward-free RL Ruiquan Huang J. Yang Yingbin Liang OffRL 61 9 0 28 Jun 2022
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach Qinbo Bai Amrit Singh Bedi Mridul Agarwal Alec Koppel Vaneet Aggarwal 107 56 0 13 Sep 2021
Model-free Representation Learning and Exploration in Low-rank MDPs Aditya Modi Jinglin Chen A. Krishnamurthy Nan Jiang Alekh Agarwal OffRL 102 78 0 14 Feb 2021