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Action Candidate Based Clipped Double Q-learning for Discrete and Continuous Action Tasks
Author(s) -
Haobo Jiang,
Jin Xie,
Jian Yang
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.v35i9.16973
Subject(s) - estimator , reinforcement learning , action (physics) , mathematics , benchmark (surveying) , expected value , set (abstract data type) , artificial intelligence , markov decision process , q learning , computer science , statistics , algorithm , markov process , physics , programming language , geography , geodesy , quantum mechanics

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