Using Reinforcement Learning to Evaluate Player Pair Performance in Ice Hockey

Using Reinforcement Learning to Evaluate Player Pair Performance in Ice Hockey

A recent study using reinforcement learning with a Q-functions to quantify the impact of individual player actions in ice hockey has shown promising results. The model takes into account the context of the actions and captures internal dynamic features of the play which simple common metrics e.g., c...

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Bibliographic Details
Main Author: Ljung, Dennis
Format: Others
Language:English
Published: Linköpings universitet, Institutionen för datavetenskap 2021
Subjects:
reinforcement learning q-function ice hockey player pair impact nhl context actions markov game model data mining validation score sportlogic
Computer Engineering
Datorteknik
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-175928

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-175928

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