International audienceThe ancient oriental game of Go has long been considered a grand challenge for artificial intelligence. For decades, com- puter Go has defied the classical methods in game tree search that worked so successfully for chess and checkers. How- ever, recent play in computer Go has been transformed by a new paradigm for tree search based on Monte-Carlo meth- ods. Programs based on Monte-Carlo tree search now play at human-master levels and are beginning to challenge top professional players. In this paper we describe the leading algorithms for Monte-Carlo tree search and explain how they have advanced the state of the art in computer Go
Abstract. Recently, Monte-Carlo Tree Search (MCTS) has advanced the field of computer Go substantial...
Abstract Monte-Carlo tree search is a recent and powerful algorithm that has been applied with succe...
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...
The ancient oriental game of Go has long been considered a grand challenge for artificial intelligen...
The ancient oriental game of Go has long been considered a grand challenge for artificial intelligen...
The ancient oriental game of Go has long been considered a grand challenge for artificial intelligen...
The ancient oriental game of Go has long been considered a grand challenge for artificial intelligen...
University of Minnesota Ph.D. dissertation. May 2016. Major: Computer Science. Advisor: Maria Gini. ...
AbstractA new paradigm for search, based on Monte-Carlo simulation, has revolutionised the performan...
This thesis is about designing an artificial intelligence Go player based on Monte Carlo Tree Search...
application of artificial intelligence to the game of Go. Since its creation, in 2006, many improvem...
We explore the effects of using a system similar to an opening book to improve the capabilities of c...
Abstract. Monte-Carlo tree search is a powerful paradigm for the game of Go. We present a parallel M...
Abstract. Monte-Carlo tree search is a powerful paradigm for the game of Go. We present a parallel M...
Abstract. Recently, Monte-Carlo Tree Search (MCTS) has advanced the field of computer Go substantial...
Abstract Monte-Carlo tree search is a recent and powerful algorithm that has been applied with succe...
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...
The ancient oriental game of Go has long been considered a grand challenge for artificial intelligen...
The ancient oriental game of Go has long been considered a grand challenge for artificial intelligen...
The ancient oriental game of Go has long been considered a grand challenge for artificial intelligen...
The ancient oriental game of Go has long been considered a grand challenge for artificial intelligen...
University of Minnesota Ph.D. dissertation. May 2016. Major: Computer Science. Advisor: Maria Gini. ...
AbstractA new paradigm for search, based on Monte-Carlo simulation, has revolutionised the performan...
This thesis is about designing an artificial intelligence Go player based on Monte Carlo Tree Search...
application of artificial intelligence to the game of Go. Since its creation, in 2006, many improvem...
We explore the effects of using a system similar to an opening book to improve the capabilities of c...
Abstract. Monte-Carlo tree search is a powerful paradigm for the game of Go. We present a parallel M...
Abstract. Monte-Carlo tree search is a powerful paradigm for the game of Go. We present a parallel M...
Abstract. Recently, Monte-Carlo Tree Search (MCTS) has advanced the field of computer Go substantial...
Abstract Monte-Carlo tree search is a recent and powerful algorithm that has been applied with succe...
Recently, Monte-Carlo Tree Search (MCTS) has advanced the field of computer Go substantially. In thi...