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