I am a postdoctoral researcher at the REACT lab at Harvard University, advised by Prof. Stephanie Gil. My research focuses on designing multiagent reinforcement learning algorithms to solve real-world problems under computation and communication constraints. As a part of ProjectCETI, I work on model-based RL algorithms to enable autonomous marine life observation.
I completed my Ph.D. in Computer Science from Harvard University, where I worked with Prof. Stephanie Gil on Sequential Decision-Making for Multi-Robot Systems with Real-World Uncertainty using Rollout-based Reinforcement Learning.
Reinforcement Learning-Based Framework for Whale Rendezvous via Autonomous Sensing Robots
Multiagent Reinforcement Learning: Rollout and Policy Iteration for POMDP with Application to Multi-Robot Problems
Approximate Multiagent Reinforcement Learning for On-Demand Urban Mobility Problem on a Large Map
Multiagent Reinforcement Learning for Autonomous Routing and Pickup Problem with Adaptation to Variable Demand
Multiagent Rollout and Policy Iteration for POMDP with Application to Multi-Robot Repair Problems
Reinforcement Learning for POMDP: Rollout and Policy Iteration with Application to Autonomous Sequential Repair Problems