Naman Saxena (joint guidance with Prof. Shishir N.Y.Kolathaya): Average Reward Actor-Critic with Deterministic Poloicy Search, Thesis defended, July 2023
Akash Mondal: Stochastic Optimization and its Application in Reinforcement Learning, Thesis defended, March 2023
Ashish Kumar Jayant: Model-Based Safe Deep Reinforcement Learning and Empirical Analysis of Safety via Attribution, graduated, 2022
Meet Pradhuman Gandhi: Novel Reinforcement Learning Algorithms and Applications to Hybrid Control Design Problems, graduated, 2021
Sai Koti Reddy: Stochastic Newton Methods with Enhanced Hessian Estimation, graduated, 2017
Sindhu P.R.: Algorithms for Product Pricing and Energy Allocation in Energy Harvesting Sensor Networks, graduated 2015
Amrish Patel (jointly with Dr.Shirish Shevade) : Semi-supervised Classification using Gaussian Processes, graduated, 2009
Rajesh Patro: A Nonlinear Stochastic Optimization Framework for RED, graduated, 2006
Rahul Vaidya : Online Optimization of RED Routers, graduated, 2004

M.Tech (Research) Students