Model-based Reinforcement Learning for Control Problems

Established: August 1, 2017

This research project aims at developing a new class of Reinforcement Learning (RL) algorithms that are sample efficient, off policy, and transferable. We seek to demonstrate these new algorithms in real-world operational optimal control applications such as

Indoor Farm Control


Data Center Energy Consumption Optimization

Data center




Portrait of Chetan Bansal

Chetan Bansal

Principal Research Manager

Portrait of Ranveer Chandra

Ranveer Chandra

Managing Director, Research for Industry Partner Manager, Networking Research CTO, Agri-Food