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Swetha Ganesh — most-cited papers & profile · Reinforcement Learning
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Swetha Ganesh
11
papers ·
0
citations ·
4
h-index
University of Wisconsin–Madison · Revolution Medicines (United States)
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Most-cited papers
Bias-Controlled Primal-Dual Natural Actor-Critic: Optimal Rates for Constrained Multi-Objective Average-Reward RL
2026
Breaking the Bias Barrier in Concave Multi-Objective Reinforcement Learning
2026
Efficient $Q$-Learning and Actor-Critic Methods for Robust Average Reward Reinforcement Learning
2025
Global Convergence for Average Reward Constrained MDPs with Primal-Dual Actor Critic Algorithm
2025
Regret Analysis of Average-Reward Unichain MDPs via an Actor-Critic Approach
2025
A Sharper Global Convergence Analysis for Average Reward Reinforcement Learning via an Actor-Critic Approach
2024
Order-Optimal Regret with Novel Policy Gradient Approaches in Infinite-Horizon Average Reward MDPs
2024
Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries
2024
Top co-authors
Vaneet Aggarwal
· 6
Yang Xu
· 2
and Vaneet Aggarwal
· 1
Jiayu Chen
· 1
Topics
Policy Gradient
Safe RL
Multi-Agent
Value-Based
cs.LG
stat.ML
Model-Based RL