Open AccessSuccessor Feature Sets: Generalizing Successor Representations Across Policies
Author(s) -
Kianté Brantley,
Soroush Mehri,
Geoff J. Gordon
Publication year - 2021
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - Uncategorized
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v35i13.17399
Subject(s) - successor cardinal , reinforcement learning , computer science , representation (politics) , artificial intelligence , function (biology) , value (mathematics) , machine learning , theoretical computer science , mathematics , political science , biology , mathematical analysis , evolutionary biology , politics , law
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