Abstract : Recently, a backgammon bot named Palamedes won the first prize in backgammon at the 16th 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 evaluated for each one of these variants. This paper presents the details of the architecture and the training procedure for each case. New expert features as inputs to the networks are also introduced, whereas experimental results demonstrate improvement over previous versions of Palamedes.
Lazaros Iliadis; Ilias Maglogiannis; Harris Papadopoulos. 8th International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2012, Halkidiki, Greece. Springer, IFIP Advances in Information and Communication Technology, AICT-381 (Part I), pp.78-87, 2012, Artificial Intelligence Applications and Innovations. 〈10.1007/978-3-642-33409-2_9〉
https://hal.inria.fr/hal-01521393
Contributeur : Hal Ifip
<>
Soumis le : jeudi 11 mai 2017 - 17:10:17
Dernière modification le : lundi 30 juillet 2018 - 12:02:02
Document(s) archivé(s) le : samedi 12 août 2017 - 13:52:48
Nikolaos Papahristou, Ioannis Refanidis. On the Design and Training of Bots to Play Backgammon Variants. Lazaros Iliadis; Ilias Maglogiannis; Harris Papadopoulos. 8th International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2012, Halkidiki, Greece. Springer, IFIP Advances in Information and Communication Technology, AICT-381 (Part I), pp.78-87, 2012, Artificial Intelligence Applications and Innovations. 〈10.1007/978-3-642-33409-2_9〉. 〈hal-01521393〉
