Chris Amato

Christopher (Chris) Amato

I was a PhD candidate in the department of Computer Science at UMass Amherst. I have a BA from Tufts University in Clinical Psychology and Philosophy and a BS in Computer Science and Math and an MS in Computer Science, both from UMass Amherst. I finished my PhD in September of 2010.

My advisor is Shlomo Zilberstein in the Resource-Bounded Reasoning Lab. My research interests include Artificial Intelligence, Reasoning Under Uncertainty, Multiagent Systems, Decision Theory, Game Theory, Machine Learning, Resource-Bounded Reasoning and Operations Research.


I graduated in 2010 and am currently a post-doc at MIT working with Leslie Kaelbling.
You can find my new website here

I'm giving a tutorial on Decision-Making in Multiagent Settings at AAMAS-11 along with Prashant Doshi, Zinovi Rabinovich and Matthijs Spaan. For more information look at the website.

I am co-organizing the workshop on Decision Making in Partially Observable, Uncertain Worlds: Exploring Insights from Multiple Communities at IJCAI-11. We are interested in papers related to single and multiagent decision-making. For more info, check out the website.

There is an interview about some of my recent work on learning in computer games over at PhaseLeap.

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.

Also, for a little help using the XML-RPC API of the NEOS server, look here

For more information on the Decision-Theoretic Planning for Multi-Agent Systems: New Directions and Opportunities tutorial Matthijs Spaan, Shlomo Zilberstein and I gave at IJCAI-09 check out the website.

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 cs DOT umass DOT edu