Learning Infinite-Horizon Average-Reward Markov Decision Processes with Constraints

31 January 2022

Papers citing "Learning Infinite-Horizon Average-Reward Markov Decision Processes with Constraints"

19 / 19 papers shown

Title
Efficient Exploration in Average-Reward Constrained Reinforcement Learning: Achieving Near-Optimal Regret With Posterior Sampling Danil Provodin M. Kaptein Mykola Pechenizkiy 41 0 0 29 May 2024
Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints Shu-Fan Wang Guojun Xiong Jian Li 51 6 0 16 Dec 2023
Provably Efficient Exploration in Constrained Reinforcement Learning:Posterior Sampling Is All You Need Danil Provodin Pratik Gajane Mykola Pechenizkiy M. Kaptein 33 0 0 27 Sep 2023
Model-Free, Regret-Optimal Best Policy Identification in Online CMDPs Zihan Zhou Honghao Wei Lei Ying OffRL 40 1 0 27 Sep 2023
Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes Qinbo Bai Washim Uddin Mondal Vaneet Aggarwal 28 9 0 05 Sep 2023
Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs Dongsheng Ding Chen-Yu Wei Kaipeng Zhang Alejandro Ribeiro 40 19 0 20 Jun 2023
Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement Learning Dongsheng Ding Xiaohan Wei Zhuoran Yang Zhaoran Wang Mihailo R. Jovanović OffRL 32 11 0 31 May 2023
Online Resource Allocation in Episodic Markov Decision Processes Duksang Lee William Overman Dabeen Lee 37 1 0 18 May 2023
Model-Free Robust Average-Reward Reinforcement Learning Yue Wang Alvaro Velasquez George K. Atia Ashley Prater-Bennette Shaofeng Zou 32 9 0 17 May 2023
Graph Exploration for Effective Multi-agent Q-Learning Ainur Zhaikhan Ali H. Sayed 37 1 0 19 Apr 2023
Provably Efficient Model-Free Algorithms for Non-stationary CMDPs Honghao Wei A. Ghosh Ness B. Shroff Lei Ying Xingyu Zhou 13 13 0 10 Mar 2023
Online Nonstochastic Control with Adversarial and Static Constraints Xin Liu Zixi Yang Lei Ying 36 5 0 05 Feb 2023
ACPO: A Policy Optimization Algorithm for Average MDPs with Constraints Akhil Agnihotri R. Jain Haipeng Luo 21 2 0 02 Feb 2023
Safe Posterior Sampling for Constrained MDPs with Bounded Constraint Violation K. C. Kalagarla Rahul Jain Pierluigi Nuzzo 26 6 0 27 Jan 2023
Robust Average-Reward Markov Decision Processes Yue Wang Alvaro Velasquez George K. Atia Ashley Prater-Bennette Shaofeng Zou 33 11 0 02 Jan 2023
An Empirical Evaluation of Posterior Sampling for Constrained Reinforcement Learning Danil Provodin Pratik Gajane Mykola Pechenizkiy M. Kaptein 27 1 0 08 Sep 2022
Concave Utility Reinforcement Learning with Zero-Constraint Violations Mridul Agarwal Qinbo Bai Vaneet Aggarwal 33 12 0 12 Sep 2021
Learning in Markov Decision Processes under Constraints Rahul Singh Abhishek Gupta Ness B. Shroff 35 27 0 27 Feb 2020
Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes Chen-Yu Wei Mehdi Jafarnia-Jahromi Haipeng Luo Hiteshi Sharma R. Jain 107 99 0 15 Oct 2019