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 onCooperative 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:
There is an article about some of my recent work on balancing time
and quality to quickly track and detect security threats at MITnews.
Here is another article on this work with some more info on the
approach at Talking
Points Memo.
Another article with more quotes from me about the research at Security
Info Watch.
Artificial intelligence for computer games:
There is a Q&A about some of my work on creating opponents
that learn to improve 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. 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.