Monte Carlo Tree Search for games with hidden information and uncertainty
Monte Carlo Tree Search (MCTS) is an AI technique that has been successfully applied to many deterministic games of perfect information, leading to large advances in a number of domains, such as Go and General Game Playing. Imperfect information games are less well studied in the field of AI despite...
Main Author: | Whitehouse, Daniel |
---|---|
Other Authors: | Cowling, Peter I. |
Published: |
University of York
2014
|
Subjects: | |
Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.638997 |
Similar Items
-
Adversarial Game Playing Using Monte Carlo Tree Search
by: Sista, Subrahmanya Srivathsava
Published: (2016) -
Applying Monte Carlo Tree Search to Tien Gow Game
by: CHUNG,KUAN-LIN, et al.
Published: (2016) -
RESOURCE CONSTRAINT COOPERATIVE GAME WITH MONTE CARLO TREE SEARCH
by: Cheng, Chee Chian
Published: (2016) -
Computational intelligence sequential Monte Carlos for recursive Bayesian estimation
by: Hanif, A.
Published: (2013) -
Improvement and Application of Monte Carlo Tree Search Algorithm on Computer Games
by: Cheng-Wei Chou, et al.
Published: (2013)