Difference between revisions of "Shaul Markovitch"
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* [[Shaul Markovitch]], [[Yaron Sella]] ('''1993'''). ''[https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1467-8640.1996.tb00254.x Learning of Resource Allocation Strategies for Game Playing]''. [[Conferences#IJCAI1993|International Joint Conference on Artificial Intelligence]], [https://www.ijcai.org/Proceedings/93-2/Papers/020.pdf pdf] | * [[Shaul Markovitch]], [[Yaron Sella]] ('''1993'''). ''[https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1467-8640.1996.tb00254.x Learning of Resource Allocation Strategies for Game Playing]''. [[Conferences#IJCAI1993|International Joint Conference on Artificial Intelligence]], [https://www.ijcai.org/Proceedings/93-2/Papers/020.pdf pdf] | ||
* [[David Carmel]], [[Shaul Markovitch]] ('''1993'''). ''[https://aaai.org/Library/Symposia/Fall/1993/fs93-02-019.php Learning Models of Opponent's Strategy in Game Playing]''. [[Conferences#AAAI-93|AAAI 1993]], FS-93-02, [https://www.aaai.org/Papers/Symposia/Fall/1993/FS-93-02/FS93-02-019.pdf pdf] | * [[David Carmel]], [[Shaul Markovitch]] ('''1993'''). ''[https://aaai.org/Library/Symposia/Fall/1993/fs93-02-019.php Learning Models of Opponent's Strategy in Game Playing]''. [[Conferences#AAAI-93|AAAI 1993]], FS-93-02, [https://www.aaai.org/Papers/Symposia/Fall/1993/FS-93-02/FS93-02-019.pdf pdf] | ||
− | * [[David Carmel]], [[Shaul Markovitch]] ('''1994'''). ''[https://www.semanticscholar.org/paper/The-M*-Algorithm%3A-Incorporating-Opponent-Models-Carmel-Markovitch/bd788272c81951dc44fa7944e0f72451ced14129 The M* Algorithm: Incorporating Opponent Models into Adversary Search]'. CIS Report #9402, [http://www.cs.technion.ac.il/~shaulm/papers/pdf/Carmel-Markovitch-CIS9402.pdf pdf] <ref>[http://www.talkchess.com/forum/viewtopic.php?t=54865&start=27 Re: Different eval for white/black] by [[Ronald de Man]], [[CCC]], January 08, 2015</ref> | + | * [[David Carmel]], [[Shaul Markovitch]] ('''1994'''). ''[https://www.semanticscholar.org/paper/The-M*-Algorithm%3A-Incorporating-Opponent-Models-Carmel-Markovitch/bd788272c81951dc44fa7944e0f72451ced14129 The M* Algorithm: Incorporating Opponent Models into Adversary Search]''. CIS Report #9402, [http://www.cs.technion.ac.il/~shaulm/papers/pdf/Carmel-Markovitch-CIS9402.pdf pdf] <ref>[http://www.talkchess.com/forum/viewtopic.php?t=54865&start=27 Re: Different eval for white/black] by [[Ronald de Man]], [[CCC]], January 08, 2015</ref> |
* [[David Carmel]], [[Shaul Markovitch]] ('''1996'''). ''Incorporating Opponent Models into Adversary Search''. [[Conferences#AAAI-96|AAAI 1996]], [http://www.cs.technion.ac.il/~shaulm/papers/pdf/Carmel-Markovitch-aaai1996.pdf pdf] | * [[David Carmel]], [[Shaul Markovitch]] ('''1996'''). ''Incorporating Opponent Models into Adversary Search''. [[Conferences#AAAI-96|AAAI 1996]], [http://www.cs.technion.ac.il/~shaulm/papers/pdf/Carmel-Markovitch-aaai1996.pdf pdf] | ||
* [[Lev Finkelstein]], [[Shaul Markovitch]] ('''1998'''). ''Learning to Play Chess Selectively by Acquiring Move Patterns.'' [[ICGA Journal#21_2|ICCA Journal, Vol. 21, No. 2]], [http://www.cs.technion.ac.il/%7Eshaulm/papers/pdf/Finkelstein-Markovitch-icca1998.pdf pdf] | * [[Lev Finkelstein]], [[Shaul Markovitch]] ('''1998'''). ''Learning to Play Chess Selectively by Acquiring Move Patterns.'' [[ICGA Journal#21_2|ICCA Journal, Vol. 21, No. 2]], [http://www.cs.technion.ac.il/%7Eshaulm/papers/pdf/Finkelstein-Markovitch-icca1998.pdf pdf] |
Revision as of 17:44, 1 July 2020
Home * People * Shaul Markovitch
Shaul Markovitch,
an Israeli computer scientist, AI researcher, and faculty member in the Computer Science department at Technion - Israel Institute of Technology.
His research covers machine learning and AI with the topics selective learning, speedup learning,
feature generation, active learning, learning in multi-agent systems, opponent modeling, game playing, anytime algorithms, resource-bounded reasoning, reasoning under uncertainty, and heuristic search
[2].
Photos
Shaul Markovitch talks on How Computers Play Chess at the Man vs Machine Symposium, University of Haifa, October 2002 [3]
Selected Publications
1990 ...
- Shaul Markovitch, Yaron Sella (1993). Learning of Resource Allocation Strategies for Game Playing. International Joint Conference on Artificial Intelligence, pdf
- David Carmel, Shaul Markovitch (1993). Learning Models of Opponent's Strategy in Game Playing. AAAI 1993, FS-93-02, pdf
- David Carmel, Shaul Markovitch (1994). The M* Algorithm: Incorporating Opponent Models into Adversary Search. CIS Report #9402, pdf [5]
- David Carmel, Shaul Markovitch (1996). Incorporating Opponent Models into Adversary Search. AAAI 1996, pdf
- Lev Finkelstein, Shaul Markovitch (1998). Learning to Play Chess Selectively by Acquiring Move Patterns. ICCA Journal, Vol. 21, No. 2, pdf
- Lev Finkelstein, Shaul Markovitch (1998). A Selective Macro-learning Algorithm and its Application to the NxN Sliding-Tile Puzzle. JAIR, Vol. 8, arXiv:cs/9806102
2000 ...
- Shaul Markovitch (2002). Tutorial: How Computers Play Chess. Man vs Machine Symposium
- Lev Finkelstein, Shaul Markovitch, Ehud Rivlin (2003). Optimal Schedules for Parallelizing Anytime Algorithms: The Case of Shared Resources. JAIR, Vol. 19, arXiv:1106.5269
External Links
- Shaul Markovitch's Home Page
- Shaul Markovitch - Google Scholar Citations
- Shaul Markovitch - YouTube
- Shaul Markovitch, Ziv Cohen, Peer Sagiv, Ilya Smagloy - Shine On You Crazy Diamond, Technion, November 04, 2019, YouTube Video
References
- ↑ Shaul Markovitch's Home Page
- ↑ Shaul Markovitch - Research summary
- ↑ Man vs. Machine: The Experiment October 15-16, 2002, University of Haifa
- ↑ dblp: Shaul Markovitch
- ↑ Re: Different eval for white/black by Ronald de Man, CCC, January 08, 2015