Swetha Ganesh
5 papers · 2023–2026 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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The Questioner
Venues
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Research topics
Keywords
average-reward markov decision process
(2)
sample complexity
(2)
stochastic gradient descent
(1)
markov decision processes
(1)
policy gradient
(1)
natural policy gradient
(1)
markov decision process
(1)
variance reduction
(1)
distributionally robust optimization
(1)
quadratic optimization
(1)
regret bound
(1)
convergence rate
(1)
average reward
(1)
momentum method
(1)
actor-critic method
(1)
markovian sampling
(1)
state space
(1)
monte carlo
(1)
actor critic
(1)
neural function approximation
(1)
Papers
Efficient Q-Learning and Actor–Critic Methods for Robust Average-Reward Reinforcement Learning.
UAI 2026
A Sharper Global Convergence Analysis for Average Reward Reinforcement Learning via an Actor-Critic Approach
ICML 2025
Order-Optimal Global Convergence for Actor-Critic with General Policy and Neural Critic Parametrization
UAI 2025
Order-Optimal Regret with Novel Policy Gradient Approaches in Infinite-Horizon Average Reward MDPs
AISTATS 2025
Does Momentum Help in Stochastic Optimization? A Sample Complexity Analysis.
UAI 2023