Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes

5 September 2023

Papers citing "Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes"

10 / 10 papers shown

Title
Natural Policy Gradient for Average Reward Non-Stationary RL Neharika Jali Eshika Pathak Pranay Sharma Guannan Qu Gauri Joshi 24 0 0 23 Apr 2025
Last-Iterate Convergence of General Parameterized Policies in Constrained MDPs Washim Uddin Mondal Vaneet Aggarwal 33 1 0 21 Aug 2024
Order-Optimal Regret with Novel Policy Gradient Approaches in Infinite-Horizon Average Reward MDPs Swetha Ganesh Washim Uddin Mondal Vaneet Aggarwal 39 3 0 02 Apr 2024
Towards Global Optimality for Practical Average Reward Reinforcement Learning without Mixing Time Oracles Bhrij Patel Wesley A. Suttle Alec Koppel Vaneet Aggarwal Brian M. Sadler Amrit Singh Bedi Dinesh Manocha 32 1 0 18 Mar 2024
On the Global Convergence of Policy Gradient in Average Reward Markov Decision Processes Navdeep Kumar Yashaswini Murthy Itai Shufaro Kfir Y. Levy R. Srikant Shie Mannor 23 2 0 11 Mar 2024
Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes Washim Uddin Mondal Vaneet Aggarwal 22 9 0 18 Oct 2023
Adapting to Mixing Time in Stochastic Optimization with Markovian Data Ron Dorfman Kfir Y. Levy 30 28 0 09 Feb 2022
Learning Infinite-Horizon Average-Reward Markov Decision Processes with Constraints Liyu Chen R. Jain Haipeng Luo 36 25 0 31 Jan 2022
On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method Junyu Zhang Chengzhuo Ni Zheng Yu Csaba Szepesvári Mengdi Wang 44 66 0 17 Feb 2021
Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes Chen-Yu Wei Mehdi Jafarnia-Jahromi Haipeng Luo Hiteshi Sharma R. Jain 103 99 0 15 Oct 2019