Provably Efficient Model-Free Algorithms for Non-stationary CMDPs

Provably Efficient Model-Free Algorithms for Non-stationary CMDPs

10 March 2023

Papers citing "Provably Efficient Model-Free Algorithms for Non-stationary CMDPs"

14 / 14 papers shown

Title
Ensuring Safety in an Uncertain Environment: Constrained MDPs via Stochastic Thresholds Qian Zuo Fengxiang He 26 0 0 07 Apr 2025
Optimal Strong Regret and Violation in Constrained MDPs via Policy Optimization Francesco Emanuele Stradi Matteo Castiglioni A. Marchesi Nicola Gatti 18 1 0 03 Oct 2024
Safe Reinforcement Learning for Constrained Markov Decision Processes with Stochastic Stopping Time Abhijit Mazumdar Rafał Wisniewski Manuela L. Bujorianu 23 3 0 23 Mar 2024
Learning Adversarial MDPs with Stochastic Hard Constraints Francesco Emanuele Stradi Matteo Castiglioni A. Marchesi Nicola Gatti 26 4 0 06 Mar 2024
Safe Reinforcement Learning with Instantaneous Constraints: The Role of Aggressive Exploration Honghao Wei Xin Liu Lei Ying 35 1 0 22 Dec 2023
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning Yi-Fan Yao Zuxin Liu Zhepeng Cen Jiacheng Zhu Wenhao Yu Tingnan Zhang Ding Zhao OffRL 28 12 0 05 Oct 2023
Model-Free, Regret-Optimal Best Policy Identification in Online CMDPs Zihan Zhou Honghao Wei Lei Ying OffRL 40 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 46 19 0 20 Jun 2023
Online Resource Allocation in Episodic Markov Decision Processes Duksang Lee William Overman Dabeen Lee 37 1 0 18 May 2023
Provably Efficient Model-Free Constrained RL with Linear Function Approximation A. Ghosh Xingyu Zhou Ness B. Shroff 64 23 0 23 Jun 2022
Learning Infinite-Horizon Average-Reward Markov Decision Processes with Constraints Liyu Chen R. Jain Haipeng Luo 57 25 0 31 Jan 2022
Provably Efficient Reinforcement Learning with Linear Function Approximation Under Adaptivity Constraints Chi Jin Zhuoran Yang Zhaoran Wang OffRL 122 166 0 06 Jan 2021
Efficient Learning in Non-Stationary Linear Markov Decision Processes Ahmed Touati Pascal Vincent 37 29 0 24 Oct 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 165 1,632 0 02 Feb 2020