Professor & AI-Lab Director
Computer Science & Engineering Division
Electrical Engineering and Computer Science Department
University of Michigan, Ann Arbor


Research: 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.

General RL Pages: Myths of RL, Successes of RL, Algorithms of RL, and Demos of RL

(New!) Reinforcement Learning and Decision Making Conference

Potential graduate students are encouraged to apply here.

Rm 3749, Computer Science and Engineering
2260 Hayward Street
Ann Arbor, MI 48109

baveja at umich dot edu

Ph: (734) 936 2831