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 received 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).
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] He was elected as a fellow of the Association for the Advancement of Artificial Intelligence[16] in 2011 and of the Association for Computing Machinery[17] in 2021.
Selected publications
- Srivastava, Siddharth; Immerman, Neil; Zilberstein, Shlomo (2012). "Applicability Conditions for Plans with Loops: Computability Results and Algorithms" (PDF). Artificial Intelligence. 191 (1–2): 1–19. doi:10.1016/j.artint.2012.07.005.
- Amato, Christopher; Bernstein, Daniel S.; Zilberstein, Shlomo (2010). "Optimizing Fixed-Size Stochastic Controllers for POMDPs and Decentralized POMDPs" (PDF). Autonomous Agents and Multi-Agent Systems. 21 (3): 293–320. doi:10.1007/s10458-009-9103-z. S2CID 12915662.
- Seuken, Sven; Zilberstein, Shlomo (2008). "Formal Models and Algorithms for Decentralized Decision Making under Uncertainty" (PDF). Autonomous Agents and Multi-Agent Systems. 17 (1): 190–250. doi:10.1007/s10458-007-9026-5. S2CID 12707282.
- Goldman, Claudia V.; Zilberstein, Shlomo (2004). "Decentralized Control of Cooperative Systems: Categorization and Complexity Analysis" (PDF). Journal of Artificial Intelligence Research. 22: 143–174. doi:10.1613/jair.1427.
- Hansen, Eric A.; Bernstein, Daniel S.; Zilberstein, Shlomo (2004). "Dynamic Programming for Partially Observable Stochastic Games" (PDF). Proceedings of the 19th National Conference on Artificial Intelligence. AAAI. pp. 709–715.
- Bernstein, Daniel S.; Givan, Robert; Immerman, Neil; 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. S2CID 1195261.
- 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.
- Hansen, Eric A.; Zilberstein, Shlomo (2001). "Monitoring and control of anytime algorithms: A dynamic programming approach" (PDF). Artificial Intelligence. 126 (1–2): 139–157. doi:10.1016/S0004-3702(00)00068-0.
- Zilberstein, Shlomo (1996). "Using Anytime Algorithms in Intelligent Systems" (PDF). AI Magazine. 17 (3): 73–83.
- Zilberstein, Shlomo; Russell, Stuart J. (1996). "Optimal Composition of Real-Time Systems" (PDF). Artificial Intelligence. 82 (1–2): 1–19. doi:10.1016/0004-3702(94)00074-3.
References
- ^ UMass Amherst CS faculty list
- ^ Dr. Zilberstein's Ph.D. thesis
- ^ His doctoral advisor and thesis as part of his academic genealogy
- ^ Professional website description
- ^ Resource-Bounded Reasoning Laboratory website
- ^ UMass Amherst research groups
- ^ Dr. Zilberstein's NSF Grant in 2002 in which the Dec-POMDP model was developed
- ^ Dr. Zilberstein's NSF Grant in 2014 for Semi-Autonomous Systems (SAS) with direct applications to semi-autonomous driving
- ^ Popular Mechanics news article on semi-autonomous systems
- ^ NSF news article on semi-autonomous systems
- ^ Phys.org news article on semi-autonomous systems
- ^ JAIR editors and staff list from 2012
- ^ AAAI 2015 conference committee
- ^ AAAI 2016 conference committee
- ^ "List of NSF CAREER award recipients". Archived from the original on 2016-03-03. Retrieved 2018-04-06.
- ^ AAAI fellows list
- ^ ACM Names 71 Fellows for Computing Advances that are Driving Innovation
External links
- Dr. Zilberstein's Academic Website
- Resource-Bounded Reasoning Laboratory website
- Decentralized Partially Observable Markov Decision Process (Dec-POMDP) overview, description, and publications within the field
