Preference Learning from Annotated Game …

Preference Learning from Annotated GameDatabasesChristian Wirth and Johannes F urnkranzKnowledge Engineering, Technische Universit at Darmstadt, chess, as well as many other domains, expert feedback isamply available in the form of Annotated games . This feedback usuallycomes in the form of qualitative information because human annotatorsfind it hard to determine precise utility values for game states. There-fore, it is more reasonable to use those annotations for a Preference basedlearning setup, where it is not required to determine values for the quali-tative symbols.

Preference Learning from Annotated Game Databases Christian Wirth and Johannes Furnkranz Knowledge Engineering, Technische Universit at Darmstadt, Germany

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  Form, Database, Learning, Games, Annotated, Preference, Preference learning from annotated game, Preference learning from annotated game databases

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