ML Anthology

Ganesh, Swetha

7 publications

ICML 2025 A Sharper Global Convergence Analysis for Average Reward Reinforcement Learning via an Actor-Critic Approach Swetha Ganesh, Washim Uddin Mondal, Vaneet Aggarwal
NeurIPS 2025 Global Convergence for Average Reward Constrained MDPs with Primal-Dual Actor Critic Algorithm Yang Xu, Swetha Ganesh, Washim Uddin Mondal, Qinbo Bai, Vaneet Aggarwal
UAI 2025 Order-Optimal Global Convergence for Actor-Critic with General Policy and Neural Critic Parametrization Swetha Ganesh, Jiayu Chen, Washim Uddin Mondal, Vaneet Aggarwal
AISTATS 2025 Order-Optimal Regret with Novel Policy Gradient Approaches in Infinite-Horizon Average Reward MDPs Swetha Ganesh, Washim Uddin Mondal, Vaneet Aggarwal
NeurIPS 2025 Regret Analysis of Average-Reward Unichain MDPs via an Actor-Critic Approach Swetha Ganesh, Vaneet Aggarwal
TMLR 2024 Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries Swetha Ganesh, Jiayu Chen, Gugan Thoppe, Vaneet Aggarwal
UAI 2023 Does Momentum Help in Stochastic Optimization? a Sample Complexity Analysis. Swetha Ganesh, Rohan Deb, Gugan Thoppe, Amarjit Budhiraja