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Scaling Up Reinforcement Learning through Targeted Exploration
Author(s) -
Timothy Mann,
Yoonsuck Choe
Publication year - 2011
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.v25i1.7929
Subject(s) - reinforcement learning , state space , state (computer science) , computer science , scale (ratio) , space (punctuation) , envelope (radar) , star (game theory) , algorithm , scaling , mathematical optimization , mathematics , artificial intelligence , statistics , physics , telecommunications , mathematical analysis , radar , geometry , quantum mechanics , operating system

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