Washim Uddin Mondal

9 papers at tracked venues · 6 at CORE A* · active 2024–2025

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Venues

NeurIPS ×4 AISTATS ×2 AAAI ×1 ICML ×1 UAI ×1

Frequent coauthors

Vaneet Aggarwal

×9

Swetha Ganesh

×4

Qinbo Bai

×3

Yang Xu

×2

Jiayu Chen

×1

Papers

A Sharper Global Convergence Analysis for Average Reward Reinforcement Learning via an Actor-Critic Approach
ICML 2025 ·
Swetha Ganesh
, Washim Uddin Mondal,
Vaneet Aggarwal
Finite-Sample Analysis of Policy Evaluation for Robust Average Reward Reinforcement Learning
NeurIPS 2025 ·
Yang Xu
, Washim Uddin Mondal,
Vaneet Aggarwal
Global Convergence for Average Reward Constrained MDPs with Primal-Dual Actor Critic Algorithm
NeurIPS 2025 ·
Yang Xu
,
Swetha Ganesh
, Washim Uddin Mondal,
Qinbo Bai
,
Vaneet Aggarwal
Order-Optimal Global Convergence for Actor-Critic with General Policy and Neural Critic Parametrization
UAI 2025 ·
Swetha Ganesh
,
Jiayu Chen
, Washim Uddin Mondal,
Vaneet Aggarwal
Order-Optimal Regret with Novel Policy Gradient Approaches in Infinite-Horizon Average Reward MDPs
AISTATS 2025 ·
Swetha Ganesh
, Washim Uddin Mondal,
Vaneet Aggarwal
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,
Vaneet Aggarwal
Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm
NeurIPS 2024 ·
Qinbo Bai
, Washim Uddin Mondal,
Vaneet Aggarwal
Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes
AAAI 2024 ·
Qinbo Bai
, Washim Uddin Mondal,
Vaneet Aggarwal
Sample-Efficient Constrained Reinforcement Learning with General Parameterization
NeurIPS 2024 · Washim Uddin Mondal,
Vaneet Aggarwal