Final published version
Final published version
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - Multi-agent Monte Carlo go
AU - Soriano Marcolino, Leandro
AU - Matsubara, Hitoshi
PY - 2011
Y1 - 2011
N2 - In this paper we propose a Multi-Agent version of UCT Monte Carlo Go. We use the emergent behavior of a great number of simple agents to increase the quality of the Monte Carlo simulations, increasing the strength of the artificial player as a whole. Instead of one agent playing against itself, different agents play in the simulation phase of the algorithm, leading to a better exploration of the search space. We could significantly overcome Fuego, a top Computer Go software. Emergent behavior seems to be the next step of Computer Go development.
AB - In this paper we propose a Multi-Agent version of UCT Monte Carlo Go. We use the emergent behavior of a great number of simple agents to increase the quality of the Monte Carlo simulations, increasing the strength of the artificial player as a whole. Instead of one agent playing against itself, different agents play in the simulation phase of the algorithm, leading to a better exploration of the search space. We could significantly overcome Fuego, a top Computer Go software. Emergent behavior seems to be the next step of Computer Go development.
M3 - Conference contribution/Paper
SN - 9780982657157
VL - 1
SP - 21
EP - 28
BT - AAMAS '11 The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
PB - International Foundation for Autonomous Agents and Multiagent Systems
CY - Richland, SC
ER -