Includes bibliographical references (pages 69-70)This paper describes how the Monte Carlo Tree Search (MCTS) algorithm approach is used to implement a computer engine to play the board game known as Havannah, a game that has recently sparked interest in the artificial intelligence gaming community. A very simple approach using the MCTS is described with a slight variation to improve how memory is managed when building the Monte Carlo Tree. A few other improvements are also discussed as future considerations such as threading and memory management to further improve efficiency of how the Monte Carlo tree is generated.\ud The Havannah engine described was given the name of Wanderer and it was one of two that participated in the 2009 Computer ...
Includes bibliographical references (page 26)Monte Carlo simulations have been often used for artifi...
Artificial intelligence (AI) games have been topic for a long time, even now. However, implementatio...
This paper delves into the complexities of Ha-vannah, which is a 2-person zero-sum perfect-informati...
This article shows how the performance of a Monte-Carlo Tree Search (MCTS) player for Havannah can b...
This article shows how the performance of a Monte-Carlo Tree Search (MCTS) player for Havannah can b...
Monte Carlo tree search (MCTS) is a probabilistic algorithm that uses lightweight random simulations...
Monte-carlo tree search (mcts) is a best-first search method guided by the results of monte-carlo si...
University of Minnesota Ph.D. dissertation. May 2016. Major: Computer Science. Advisor: Maria Gini. ...
In recent years, Monte Carlo Tree Search (MCTS) has been successfully applied as a new artificial in...
This thesis is about designing an artificial intelligence Go player based on Monte Carlo Tree Search...
Recently, Monte-Carlo Tree Search (MCTS) has advanced the field of computer Go substantially. In thi...
The ancient oriental game of Go has long been considered a grand challenge for artificial intelligen...
Abstract: Monte Carlo Tree Search (MCTS) is a method for making optimal decisions in artificial inte...
[[abstract]]UCT (Upper Confidence bounds applies to Tree) is a technique based on Monte Carlo Method...
Abstract. Recently, Monte-Carlo Tree Search (MCTS) has advanced the field of computer Go substantial...
Includes bibliographical references (page 26)Monte Carlo simulations have been often used for artifi...
Artificial intelligence (AI) games have been topic for a long time, even now. However, implementatio...
This paper delves into the complexities of Ha-vannah, which is a 2-person zero-sum perfect-informati...
This article shows how the performance of a Monte-Carlo Tree Search (MCTS) player for Havannah can b...
This article shows how the performance of a Monte-Carlo Tree Search (MCTS) player for Havannah can b...
Monte Carlo tree search (MCTS) is a probabilistic algorithm that uses lightweight random simulations...
Monte-carlo tree search (mcts) is a best-first search method guided by the results of monte-carlo si...
University of Minnesota Ph.D. dissertation. May 2016. Major: Computer Science. Advisor: Maria Gini. ...
In recent years, Monte Carlo Tree Search (MCTS) has been successfully applied as a new artificial in...
This thesis is about designing an artificial intelligence Go player based on Monte Carlo Tree Search...
Recently, Monte-Carlo Tree Search (MCTS) has advanced the field of computer Go substantially. In thi...
The ancient oriental game of Go has long been considered a grand challenge for artificial intelligen...
Abstract: Monte Carlo Tree Search (MCTS) is a method for making optimal decisions in artificial inte...
[[abstract]]UCT (Upper Confidence bounds applies to Tree) is a technique based on Monte Carlo Method...
Abstract. Recently, Monte-Carlo Tree Search (MCTS) has advanced the field of computer Go substantial...
Includes bibliographical references (page 26)Monte Carlo simulations have been often used for artifi...
Artificial intelligence (AI) games have been topic for a long time, even now. However, implementatio...
This paper delves into the complexities of Ha-vannah, which is a 2-person zero-sum perfect-informati...