Chris Amato

Christopher Amato

I am a sixth year 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 expect to finish my PhD in the summer of 2010.

My advisor is Shlomo Zilberstein in the Resource-Bounded Reasoning Lab. My research interests include decision making under uncertainty, sequential decision making, single and multi-agent reinforcement learning, multi-agent systems and applications of game theory.


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

The RBR lab meeting schedule for Fall '09 can be found here.

I co-organized the workshop on Multiagent Seqential Decision Making in Uncertain Systems (MSDM) at AAMAS-09. For more info, check out the website.

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.

publicationstalksfun
email: camato AT cs DOT umass DOT edu