Detection and labeling of bad moves for coaching go

Ikeda, Kokolo; Viennot, Simon; Sato, Naoyuki

doi:10.1109/cig.2016.7860441

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Cited by 4 publications

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“…Another improvement could be the addition of a coach/tutor AI that provides tips to the player throughout the game. This could include advice about what moves to make, or feedback on why certain moves were good/bad [11]. This could be achieved using our learned heuristics, by detecting if a different move would have given a higher state evaluation.…”

Section: Future Workmentioning

confidence: 99%

Automatic Generation of Board Game Manuals

Stephenson¹,

Piette²,

Soemers³

et al. 2021

Preprint

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In this paper we present a process for automatically generating manuals for board games within the Ludii general game system. This process requires many different sub-tasks to be addressed, such as English translation of Ludii game descriptions, move visualisation, highlighting winning moves, strategy explanation, among others. These aspects are then combined to create a full manual for any given game. This manual is intended to provide a more intuitive explanation of a game's rules and mechanics, particularly for players who are less familiar with the Ludii game description language and grammar.

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Section: Future Workmentioning

confidence: 99%