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:
I occasionally take on projects in Healthcare as an application area.
(New!) Reinforcement Learning and Decision Making Conference
Potential graduate students are encouraged to apply here.
2260 Hayward Street
Ann Arbor, MI 48109
baveja at umich dot edu
Ph: (734) 936 2831