Nikolaos Papahristou

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Backgammon is a board game that has been studied considerably by computer scientists. Apart from standard backgammon, several yet unexplored variants of the game exist, which use the same board, number of checkers, and dice but may have different rules for moving the checkers, starting positions and movement direction. This paper studies two popular(More)
Palamedes is an ongoing project for building expert playing bots that can play backgammon variants. As in all successful modern backgammon programs, it is based on neural networks trained using temporal difference learning. This paper improves upon the training method that we used in our previous approach for the two backgammon variants popular in Greece(More)
Recently, a backgammon bot named Palamedes won the first prize in backgammon at the 16 th Computer Olympiad. Palamedes is an ongoing work aimed at developing intelligent bots to play a variety of popular backgammon variants. Currently, the Greek variants Portes, Plakoto and Fevga are supported. A different neural network has been designed, trained and(More)
Players of complex board games like backgammon, chess and go, were always wondering what the best opening moves for their favourite game are. In the last decade, computer analysis has offered more insight to many opening variations. This is especially true for backgammon, where computer rollouts have radically changed the way human experts play the opening.(More)
In this paper we describe AnyGammon, a program that extends the casual board game of backgammon to different board sizes while retaining the familiar game rules. Small board sizes make it easier to analyze algorithms and game evaluation functions. Large board sizes make the original games more challenging and interesting for the players. Finally, we(More)
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