| 2026 | AAAI | Parameter-free Optimal Rates for Nonlinear Semi-Norm Contractions with Applications to Q-Learning. | Ankur Naskar, Gugan Thoppe, Vijay Gupta |
| 2025 | ICML | Policy Gradient with Tree Expansion. | Gal Dalal, Assaf Hallak, Gugan Thoppe, Shie Mannor, Gal Chechik |
| 2024 | HiPC | Towards Optimizing Hyperledger Fabric Performance through Strategic Waiting. | Divya Pulivarthi, S. R. Eshwar, Gugan Thoppe, Kshitij Pratihast, Pavan Sollu, Tittu Varghese, Hrishikesh Nashikkar, Yogesh Simmhan |
| 2024 | ICML | Risk Estimation in a Markov Cost Process: Lower and Upper Bounds. | Gugan Thoppe, Prashanth L. A., Sanjay P. Bhat |
| 2024 | Networking | Online Learning of Weakly Coupled MDP Policies for Load Balancing and Auto Scaling. | S. R. Eshwar, Lucas Lopes Felipe, Alexandre Reiffers-Masson, Daniel Sadoc Menasch, Gugan Thoppe |
| 2023 | UAI | Does Momentum Help in Stochastic Optimization? A Sample Complexity Analysis. | Swetha Ganesh, Rohan Deb, Gugan Thoppe, Amarjit Budhiraja |
| 2020 | AAAI | A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound. | Gal Dalal, Balzs Szrnyi, Gugan Thoppe |
| 2018 | AAAI | Finite Sample Analyses for TD(0) With Function Approximation. | Gal Dalal, Balzs Szrnyi, Gugan Thoppe, Shie Mannor |
| 2018 | COLT | Finite Sample Analysis of Two-Timescale Stochastic Approximation with Applications to Reinforcement Learning. | Gal Dalal, Gugan Thoppe, Balzs Szrnyi, Shie Mannor |
| 2016 | ITA | A concentration result for stochastic approximation (Extended abstract). | Gugan Thoppe, Vivek S. Borkar |