Learning a strategy with neural approximated Temporal-Difference methods in English Draughts

Proceedings - International Conference on Pattern Recognition

Volumn , Issue , 2010, Pages 2925-2928

  Faußer, Stefan ^a   Schwenker, Friedhelm ^a  

^a UNIVERSITY OF ULM   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER AGENTS; DIFFERENCE METHOD; MULTI LAYER PERCEPTRON; SELF-PLAY; TREE COMPLEXITY;

PATTERN RECOGNITION;

INTELLIGENT AGENTS;

EID: 78149474967     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2010.717     Document Type: Conference Paper

References (7)

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3. Gerald Tesauro, Temporal Difference Learning and TD-Gammon, Communications of the ACM, Vol. 38, No. 3 (1995).
4. Jonathan Schaeffer, Neil Burch, Yngvi Bjoernsson, Akihiro Kishimoto, Martin Mueller, Robert Lake, Paul Lu, Steve Sutphen, Checkers Is Solved, Science Express Vol. 317. No 5488, pp. 1518-1522 (2007).
5. Christopher M. Bishop, Neural Networks for Pattern Recognition, Oxford University Press (1995).
6. G.V. Cybenko, Approximation by Superpositions of a Sigmoidal function, Mathematics of Control, Signals and Systems, vol. 2 pp. 303-314. electronic version (1989).
7. Nelson Castillo, Simple Draughts program, http://www.geocities.com/ ResearchTriangle/Thinktank/7379/checkers.html (1999).