Sökning: "reinforcement learning q-function ice hockey player pair impact nhl context actions markov game model data mining validation score sportlogic"

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1. 1. Using Reinforcement Learning to Evaluate Player Pair Performance in Ice Hockey

   Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

   Författare :Dennis Ljung; [2021]
   Nyckelord :reinforcement learning q-function ice hockey player pair impact nhl context actions markov game model data mining validation score sportlogic;

   Sammanfattning : 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., counting goals or assists, do not. LÄS MER