Shlomo Zilberstein

Shlomo Zilberstein (Hebrew: שלמה זילברשטיין; born 1960) is an Israeli-American computer scientist. He is a Professor of Computer Science and Associate Dean for Research and Engagement in the College of Information and Computer Sciences at the University of Massachusetts, Amherst.[1] He graduated with a B.A. in Computer Science summa cum laude from Technion – Israel Institute of Technology in 1982, and a Ph.D. in Computer Science from University of California at Berkeley in 1993, advised by Stuart J. Russell.[2][3] He is known for his contributions to artificial intelligence, anytime algorithms, multi-agent systems, and automated planning and scheduling algorithms, notably within the context of Markov decision processes (MDPs), Partially Observable MDPs (POMDPs), and Decentralized POMDPs (Dec-POMDPs).

Shlomo Zilberstein
Born1960
Alma mater
Known forAnytime Algorithms
Decentralized Partially Observable Markov Decision Processes
Scientific career
Fields
  • Artificial Intelligence
  • Computer Science
InstitutionsUniversity of Massachusetts, Amherst
ThesisOperational Rationality Through Compilation of Anytime Algorithms (1993)
Doctoral advisorStuart J. Russell
Websitewww.cs.umass.edu/~shlomo/

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.[4]

He directs the Resource-Bounded Reasoning Laboratory[5] at the University of Massachusetts, Amherst.[6] 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).[7] He has also developed AI algorithms for semi-autonomous systems with potential applications to semi-autonomous cars.[8][9][10][11]

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.[12] Additionally, he served as chair of the conference committee for both the Twenty-Ninth and Thirtieth AAAI Conference on Artificial Intelligence.[13][14] The National Science Foundation awarded Dr. Zilberstein with the RIA, CAREER, and ITR awards.[15] In 2011, he was elected as a fellow of the Association for the Advancement of Artificial Intelligence.[16]

Selected publications

  • Bernstein, Daniel S.; Givan, Robert; Immerman, Niel; and Zilberstein, Shlomo (2002). "The Complexity of Decentralized Control of Markov Decision Processes" (PDF). Mathematics of Operations Research. 27 (4): 819–840. arXiv:1301.3836. doi:10.1287/moor.27.4.819.297.CS1 maint: multiple names: authors list (link)
  • Hansen, Eric A.; Zilberstein, Shlomo (2001). "LAO*: A Heuristic Search Algorithm that Finds Solutions with Loops" (PDF). Artificial Intelligence. 129 (1–2): 35–62. doi:10.1016/s0004-3702(01)00106-0.
  • Zilberstein, Shlomo (1996). "Using Anytime Algorithms in Intelligent Systems" (PDF). AI Magazine. 17 (3): 73–83.

References

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