Washim Uddin Mondal

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Frequent coauthors

Papers

1. A Sharper Global Convergence Analysis for Average Reward Reinforcement Learning via an Actor-Critic Approach
   ICML 2025 ·

   Swetha Ganesh

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2. Finite-Sample Analysis of Policy Evaluation for Robust Average Reward Reinforcement Learning
   NeurIPS 2025 ·

   Yang Xu

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3. Global Convergence for Average Reward Constrained MDPs with Primal-Dual Actor Critic Algorithm
   NeurIPS 2025 ·

   Yang Xu

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4. Order-Optimal Global Convergence for Actor-Critic with General Policy and Neural Critic Parametrization
   UAI 2025 ·

   Swetha Ganesh

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5. Order-Optimal Regret with Novel Policy Gradient Approaches in Infinite-Horizon Average Reward MDPs
   AISTATS 2025 ·

   Swetha Ganesh

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6. Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes
   AISTATS 2024 · Washim Uddin Mondal
7. Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm
   NeurIPS 2024 ·

   Qinbo Bai

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8. Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes
   AAAI 2024 ·

   Qinbo Bai

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9. Sample-Efficient Constrained Reinforcement Learning with General Parameterization
   NeurIPS 2024 · Washim Uddin Mondal