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Evolving and coevolving computer go players using neuroevolution.
Citation
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.
Description
| 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 |
Abstract
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.
More information
| 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 |
