Satinder Singh Baveja

Professor, EECS, College of Engineering

Artificial Intelligence, Deep Learning, Reinforcement Learning

My main research interest is in the old-fashioned goal of Artificial Intelligence (AI), that of building autonomous agents that can learn to be broadly competent in complex, dynamic, and uncertain environments. The field of reinforcement learning (RL) has focused on this goal and accordingly my deepest contributions are in RL.
A very recent effort combines Deep Learning and Reinforcement Learning.

From time to time, I take seriously the challenge of building agents that can interact with other agents and even humans in both artificial and natural environments. This has led to research in:

Over the past few years, I have begun to focus on Healthcare as an application area.