In this paper, we study opening play in games. We show experiments using minimax and a semi-random player. Inthe experiment, we let each semi-random player use an opening-book, created by different player. Results showevidence for the following statements. The game length increases. Expert player against an intermediate playershould not use an opening book in a tournament match. Some opening books are good for novices and some openingbooks are bad for novices. The game outcome will approach the outcome of the game when the opening book wascreated, and if a grandmaster creates the opening book then the outcome will be the same as the grandmaster’s
The respective roles of knowledge and search have received considerable attention in the literature ...
We present an experimental methodology and results for a machine learning approach to learning openi...
Human chess players exhibit a large variation in the amount of time they allocate for each move. Yet...
In this paper, we study opening play in games. We show experiments using minimax and a semi-random p...
International audienceWe used in the past a lot of computational power and human expertise for havin...
The opening book is an important component of a chess engine, and thus computer chess programmers ha...
The purpose of our research is to determine what chess opening works best for a given rating, so pla...
In this paper, we present an experimental methodology and results for a machine learning approach to...
Cahier de Recherche du Groupe HEC nº 927We introduce a form of pre-play communication that we call "...
Modern game playing programs use opening books in order to perform better. Generating opening books ...
Abstract – The game of Go can be divided into three stages; the opening, the middle, and the end gam...
In this paper, the authors introduce a form of pre-play communication that we call "preopening". Dur...
The goal of this project is to enhance software called Scribe that builds opening books for a game o...
It is increasingly common for algorithms rather than people to take complex decisions. Many of those...
The respective roles of knowledge and search have received considerable attention in the literature ...
The respective roles of knowledge and search have received considerable attention in the literature ...
We present an experimental methodology and results for a machine learning approach to learning openi...
Human chess players exhibit a large variation in the amount of time they allocate for each move. Yet...
In this paper, we study opening play in games. We show experiments using minimax and a semi-random p...
International audienceWe used in the past a lot of computational power and human expertise for havin...
The opening book is an important component of a chess engine, and thus computer chess programmers ha...
The purpose of our research is to determine what chess opening works best for a given rating, so pla...
In this paper, we present an experimental methodology and results for a machine learning approach to...
Cahier de Recherche du Groupe HEC nº 927We introduce a form of pre-play communication that we call "...
Modern game playing programs use opening books in order to perform better. Generating opening books ...
Abstract – The game of Go can be divided into three stages; the opening, the middle, and the end gam...
In this paper, the authors introduce a form of pre-play communication that we call "preopening". Dur...
The goal of this project is to enhance software called Scribe that builds opening books for a game o...
It is increasingly common for algorithms rather than people to take complex decisions. Many of those...
The respective roles of knowledge and search have received considerable attention in the literature ...
The respective roles of knowledge and search have received considerable attention in the literature ...
We present an experimental methodology and results for a machine learning approach to learning openi...
Human chess players exhibit a large variation in the amount of time they allocate for each move. Yet...