Christopher Amato

Chris Amato

I am a post-doc in MIT's CSAIL working with Leslie Kaelbling. I have a BA from Tufts University in Clinical Psychology and Philosophy and a BS in Computer Science and Math and a PhD in Computer Science, both from UMass Amherst. My research interests include Artificial Intelligence, Reasoning Under Uncertainty, Multiagent Systems, Decision Theory, Game Theory, Machine Learning, Resource-Bounded Reasoning, Operations Research and Robotics.


Recent and upcoming events:

We have a pair of tutorials, one on Self-Interested Decision Making in Sequential Multiagent Settings and one on Cooperative Decision Making in Sequential Multiagent Settings  at AAMAS-13 with Prashant Doshi, Frans Oliehoek, Zinovi Rabinovich, Matthijs Spaan and Stefan Witwicki. You can see the website here.

I co-organized the workshop on Decision Making in Partially Observable, Uncertain Worlds: Exploring Insights from Multiple Communities at IJCAI-11. For more info, check out the website.


Press:

I'm very interested in using my work for real-world applications. Here are some press articles on some of these topics.

Automated surveillance with security cameras:
Artificial intelligence for computer games:

I maintain the DEC-POMDP page which contains information about the decentralized partially observable Markov decision process (DEC-POMDP) model for describing multiagent decision making under uncertainty. Check it out for an overview, publications, talks and code for various datasets.

While working at Microsoft Research over the summer, I developed a reinforcement learning framework for the video game Civilization IV. You can download it and be able to have the AI learn to improve its play with different RL algorithms. Check it out at the MSR website.


 Publications   Talks   Fun


email: camato AT csail DOT mit DOT edu