Shlomo Zilberstein
- 1 min read
- 2 chapters
Related on Lably
Through Computer science, Artificial intelligence and Multi-agent system
Research
His research is in the area of artificial intelligence, specifically automated planning, in addition to decision theory, reasoning under uncertainty, heuristic search, automated coordination and communication, and reinforcement learning.
He directs the Resource-Bounded Reasoning Laboratory at the University of Massachusetts, Amherst. In 2002, Daniel S. Bernstein, Robert Givan, Neil Immerman, and Shlomo Zilberstein introduced the Decentralized POMDP which extends the widely used single-agent POMDP model to a multi-agent scenario (Dec-POMDP). He has also developed AI algorithms for semi-autonomous systems with potential applications to semi-autonomous cars.
Sign in to keep reading
One more chapter is free with a Lably account.
Service and awards
He served as editor-in-chief of the Journal of Artificial Intelligence Research and associate editor of the Journal of Autonomous Agents and Multi-Agent Systems. Additionally, he served as chair of the conference committee for both the Twenty-Ninth and Thirtieth AAAI Conference on Artificial Intelligence. The National Science Foundation awarded Dr. Zilberstein with the RIA, CAREER, and ITR awards. He was elected as a fellow of the Association for the Advancement of Artificial Intelligence in 2011 and of the Association for Computing Machinery in 2021.