Swetha Ganesh
Scholar

Swetha Ganesh

Google Scholar ID: -Crvn3cAAAAJ
Purdue University
Reinforcement LearningStochastic OptimizationSpectral Graph Theory
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Citations & Impact
All-time
Citations
66
 
H-index
6
 
i10-index
3
 
Publications
11
 
Co-authors
0
 
Contact
Emailswethag1706@gmail.comCVOpen ↗GitHubOpen ↗LinkedInOpen ↗
Publications
9 items
Bias-Controlled Primal-Dual Natural Actor-Critic: Optimal Rates for Constrained Multi-Objective Average-Reward RL
2026
Cited
0
Adversary-Robust Learning from Fully Asynchronous Directional Derivative Estimates
2026
Cited
0
Breaking the Bias Barrier in Concave Multi-Objective Reinforcement Learning
2026
Cited
0
Primal-Only Actor Critic Algorithm for Robust Constrained Average Cost MDPs
2025
Cited
0
Efficient $Q$-Learning and Actor-Critic Methods for Robust Average Reward Reinforcement Learning
2025
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0
Regret Analysis of Average-Reward Unichain MDPs via an Actor-Critic Approach
2025
Cited
0
Global Convergence for Average Reward Constrained MDPs with Primal-Dual Actor Critic Algorithm
2025
Cited
0
A Sharper Global Convergence Analysis for Average Reward Reinforcement Learning via an Actor-Critic Approach
2024
Cited
0
Resume
Academic Achievements
  • September 2025: Two papers accepted to NeurIPS 2025. May 2025: Two papers accepted - one at ICML and another at UAI. March 2025: Submitted PhD thesis.
Research Experience
  • Currently a Postdoctoral Scholar in the School of Industrial Engineering at Purdue University, working with Prof. Vaneet Aggarwal.
Education
  • PhD from the Department of Computer Science and Automation, Indian Institute of Science (IISc), under the guidance of Prof. Gugan Thoppe.
Background
  • Research interests include Reinforcement Learning and Stochastic Optimization.