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CadiaPlayer: Search-Control Techniques

dc.contributor.authorFinnsson, Hilmar
dc.contributor.authorBjörnsson, Yngvi
dc.date.accessioned2018-01-08T09:14:53Z
dc.date.available2018-01-08T09:14:53Z
dc.date.issued2011
dc.description.abstractEffective search control is one of the key components of any successful simulation-based game-playing program. In General Game Playing (GGP), learning of useful search-control knowledge is a particularly challenging task because it must be done in real-time during online play. In here we describe the search-control techniques used in the 2010 version of the GGP agent CadiaPlayer, and show how they have evolved over the years to become increasingly effective and robust across a wide range of games. In particular, we present a new combined search-control scheme (RAVE/MAST/FAST) for biasing action selection. The scheme proves quite effective on a wide range of games including chess-like games, which have up until now proved quite challenging for simulation-based GGP agents.
dc.identifier.pissn1610-1987
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/11191
dc.publisherSpringer
dc.relation.ispartofKI - Künstliche Intelligenz: Vol. 25, No. 1
dc.relation.ispartofseriesKI - Künstliche Intelligenz
dc.subjectCadiaplayer
dc.subjectGeneral game playing
dc.subjectMonte Carlo Tree Search
dc.subjectSearch control
dc.titleCadiaPlayer: Search-Control Techniques
dc.typeText/Journal Article
gi.citation.endPage16
gi.citation.startPage9

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