The paper proposes a new model of pattern, namely the 4*4-Pattern, to improve MCTS (Monte-Carlo Tree Search) in computer Go. A 4*4-Pattern provides a larger ...
Many details of a 4*4-Pattern implementation are presented, including classification, multiple matching, coding sequences, and fast lookup. Additionally, ...
A 4*4-Pattern provides a larger coverage space and more essential information than the original 3*3-Pattern. Nevertheless the latter is currently widely used.
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4*4-Pattern and Bayesian Learning in Monte-Carlo Go. Advances in Computer Games 13 · Jeff Rollason (2011). Mixing MCTS with Conventional Static Evaluation ...
Feb 14, 2022 · I have heard of the Monte Carlo Algorithm and I get the general idea about simulations and distributions to solve some problems.
A practical method for Bayesian training of feed-forward neural networks using sophisticated Monte Carlo methods is presented and evaluated. In reasonably small ...
We have developed, for the first time, effective move se- lection and position evaluation functions for Go, based on deep neural networks that are trained by a ...
Sep 14, 2018 · Monte Carlo methods are more applicable to a wider class of domains and problems. They will be more "useful" for the majority of statistical/quantitative ...
Missing: 4* 4- Pattern
The paper discusses how to develop a pattern database on Block Go and its performance on Monte Carlo tree search to create a good Block Go program.
May 29, 2007 · This paper presents a new. Bayesian technique for supervised learning of such patterns from game records, based on a generalization of Elo ...