Achieving Master Level Play in 9 × 9 Computer Go

Proceedings of the 23rd AAAI Conference on Artificial Intelligence, AAAI 2008

Volumn , Issue , 2008, Pages 1537-1540

  Gelly, Sylvain ^a   Silver, David ^b  

^a UNIVERSITÉ PARIS SACLAY   (France)

^b UNIVERSITY OF ALBERTA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

INTELLIGENT SYSTEMS; MONTE CARLO METHODS;

'CURRENT; BINARY FEATURES; COMPUTER GO; LINEAR COMBINATIONS; MONTE CARLO'S SIMULATION; OFFLINE; PRIOR-KNOWLEDGE; SEARCH TREES; TEMPORAL DIFFERENCE LEARNING; VALUE FUNCTIONS;

TREES (MATHEMATICS);

EID: 70349295261     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Baxter, J.; Tridgell, A.; and Weaver, L. 1998. Experiments in parameter learning using temporal differences. International Computer Chess Association Journal 21(2):84–99.
2. Bruegmann, B. 1993. Monte-Carlo Go. http://www.cgl.ucsf.edu/go/Programs/Gobble.html.
3. Buro, M. 1999. From simple features to sophisticated evaluation functions. In First International Conference on Computers and Games, 126–145.
4. Coulom, R. 2006. Efficient selectivity and backup operators in Monte-Carlo tree search. In 5th International Conference on Computer and Games, 2006-05-29, 72–83.
5. Gelly, S., and Silver, D. 2007. Combining online and offline learning in UCT. In 17th International Conference on Machine Learning, 273–280.
6. Gelly, S.; Wang, Y.; Munos, R.; and Teytaud, O. 2006. Modification of UCT with patterns in Monte-Carlo Go. Technical Report 6062, INRIA.
7. Kocsis, L., and Szepesvari, C. 2006. Bandit based Monte-Carlo planning. In 15th European Conference on Machine Learning, 282–293.
8. Müller, M. 2002. Computer Go. Artificial Intelligence 134:145–179.
9. Schaeffer, J.; Hlynka, M.; and Jussila, V. 2001. Temporal difference learning applied to a high-performance game-playing program. In Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 529–534.
10. Schaeffer, J. 1989. The history heuristic and alpha-beta search enhancements in practice. IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI-11(11):1203–1212.
11. Silver, D.; Sutton, R.; and Müller, M. 2007. Reinforcement learning of local shape in the game of Go. In 20th International Joint Conference on Artificial Intelligence, 1053–1058.
12. Sutton, R. 1988. Learning to predict by the method of temporal differences. Machine Learning 3(9):9–44.