Washim Uddin Mondal

Finite-Sample Analysis of Policy Evaluation for Robust Average Reward Reinforcement Learning

Global Convergence for Average Reward Constrained MDPs with Primal-Dual Actor Critic Algorithm

A Sharper Global Convergence Analysis for Average Reward Reinforcement Learning via an Actor-Critic Approach

Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm

Sample-Efficient Constrained Reinforcement Learning with General Parameterization