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Zela Moraya, Wester Edison and Zato Recellado, Jose Gabriel (2011). Evolving and coevolving computer go players using neuroevolution.. In: "COPCOM 2011 1st International Workshop on Coping with Complexity", Cluj-Napoca, Romania, Oct 19, 2011 - Oct 20, 2011.
Title: | Evolving and coevolving computer go players using neuroevolution. |
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Author/s: |
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Item Type: | Presentation at Congress or Conference (Article) |
Event Title: | COPCOM 2011 1st International Workshop on Coping with Complexity |
Event Dates: | Cluj-Napoca, Romania |
Event Location: | Oct 19, 2011 - Oct 20, 2011 |
Date: | 2011 |
Subjects: | |
Freetext Keywords: | Go, evolution, Coevolution, Neuroevolution, SANE, SANEi, Evolución, Coevolución, Neuroevolución. |
Faculty: | Facultad de Informática (UPM) |
Department: | Otro |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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The Go game is ancient very complex game with simple rules which still is a challenge for the AI.This work cover some neuroevolution techniques used in reinforcement learning applied to the GO game as SANE (Symbiotic Adaptive Neuro-Evolution) and presents a variation to this method with the intention of evolving better strategies in the game. The computer Go player based in SANE is evolved againts a knowed player which creates some problem as determinism for which is proposed the co-evolution. Finally, it is introduced an algorithm to co-evolve two populations of neurons to evolve better computer Go players.
Item ID: | 20977 |
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DC Identifier: | https://oa.upm.es/20977/ |
OAI Identifier: | oai:oa.upm.es:20977 |
Official URL: | http://www.complexity2011.org |
Deposited by: | Memoria Investigacion |
Deposited on: | 07 Nov 2013 17:58 |
Last Modified: | 21 Apr 2016 11:04 |