Biography:Shlomo Zilberstein
Shlomo Zilberstein | |
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Shlomo Zilberstein | |
Born | 1960 (age 63–64) Tel Aviv, Israel |
Alma mater |
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Known for | Anytime Algorithms Decentralized Partially Observable Markov Decision Processes |
Scientific career | |
Fields |
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Institutions | University of Massachusetts, Amherst |
Thesis | Operational Rationality Through Compilation of Anytime Algorithms (1993) |
Doctoral advisor | Stuart J. Russell |
Website | www |
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". Artificial Intelligence 191 (1–2): 1–19. doi:10.1016/j.artint.2012.07.005. http://rbr.cs.umass.edu/shlomo/papers/SIZaij12.pdf.
- Amato, Christopher; Bernstein, Daniel S.; Zilberstein, Shlomo (2010). "Optimizing Fixed-Size Stochastic Controllers for POMDPs and Decentralized POMDPs". Autonomous Agents and Multi-Agent Systems 21 (3): 293–320. doi:10.1007/s10458-009-9103-z. http://rbr.cs.umass.edu/shlomo/papers/ABZjaamas10.pdf.
- Seuken, Sven; Zilberstein, Shlomo (2008). "Formal Models and Algorithms for Decentralized Decision Making under Uncertainty". Autonomous Agents and Multi-Agent Systems 17 (1): 190–250. doi:10.1007/s10458-007-9026-5. http://rbr.cs.umass.edu/shlomo/papers/SZjaamas08.pdf.
- Goldman, Claudia V.; Zilberstein, Shlomo (2004). "Decentralized Control of Cooperative Systems: Categorization and Complexity Analysis". Journal of Artificial Intelligence Research 22: 143–174. doi:10.1613/jair.1427. http://rbr.cs.umass.edu/shlomo/papers/GZjair04.pdf.
- Hansen, Eric A.; Bernstein, Daniel S.; Zilberstein, Shlomo (2004). "Dynamic Programming for Partially Observable Stochastic Games". AAAI. pp. 709–715. https://www.aaai.org/Papers/AAAI/2004/AAAI04-112.pdf.
- Bernstein, Daniel S.; Givan, Robert; Immerman, Neil; Zilberstein, Shlomo (2002). "The Complexity of Decentralized Control of Markov Decision Processes". Mathematics of Operations Research 27 (4): 819–840. doi:10.1287/moor.27.4.819.297. http://rbr.cs.umass.edu/shlomo/papers/BGIZmor02.pdf.
- Hansen, Eric A.; Zilberstein, Shlomo (2001). "LAO*: A Heuristic Search Algorithm that Finds Solutions with Loops". Artificial Intelligence 129 (1–2): 35–62. doi:10.1016/s0004-3702(01)00106-0. http://rbr.cs.umass.edu/shlomo/papers/HZaij01b.pdf.
- Hansen, Eric A.; Zilberstein, Shlomo (2001). "Monitoring and control of anytime algorithms: A dynamic programming approach". Artificial Intelligence 126 (1–2): 139–157. doi:10.1016/S0004-3702(00)00068-0. http://rbr.cs.umass.edu/shlomo/papers/HZaij01a.pdf.
- "Using Anytime Algorithms in Intelligent Systems". AI Magazine 17 (3): 73–83. 1996. http://rbr.cs.umass.edu/shlomo/papers/Zaimag96.pdf.
- Zilberstein, Shlomo; Russell, Stuart J. (1996). "Optimal Composition of Real-Time Systems". Artificial Intelligence 82 (1–2): 1–19. doi:10.1016/0004-3702(94)00074-3. http://rbr.cs.umass.edu/shlomo/papers/ZRaij96.pdf.
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". https://www.nsf.gov/crssprgm/career/awards/fy96/96career.htm#ma.
- ↑ 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
Original source: https://en.wikipedia.org/wiki/Shlomo Zilberstein.
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