Open AccessAction Branching Architectures for Deep Reinforcement Learning
Author(s) -
Arash Tavakoli,
Fabio Pardo,
Petar Kormushev
Publication year - 2018
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.v32i1.11798
Subject(s) - reinforcement learning , computer science , curse of dimensionality , discretization , dimension (graph theory) , artificial intelligence , branching (polymer chemistry) , deep learning , action (physics) , artificial neural network , theoretical computer science , mathematics , mathematical analysis , materials science , physics , quantum mechanics , pure mathematics , composite material
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