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The Value-Improvement Path: Towards Better Representations for Reinforcement Learning
Author(s) -
Will Dabney,
André Barreto,
Mark Rowland,
Robert Dadashi,
John Quan,
Marc G. Bellemare,
David Silver
Publication year - 2021
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v35i8.16880
Subject(s) - reinforcement learning , computer science , bellman equation , path (computing) , value (mathematics) , sequence (biology) , representation (politics) , artificial intelligence , temporal difference learning , value network , task (project management) , perspective (graphical) , mathematical optimization , machine learning , mathematics , business model , marketing , biology , politics , political science , law , business , genetics , programming language , management , economics

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