Open AccessPhase-Parametric Policies for Reinforcement Learning in Cyclic Environments
Author(s) -
Arjun Sharma,
Kris Kitani
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.v32i1.12105
Subject(s) - reinforcement learning , parameterized complexity , computer science , trajectory , context (archaeology) , parametric statistics , path (computing) , phase (matter) , action (physics) , bellman equation , function (biology) , control theory (sociology) , artificial intelligence , mathematical optimization , mathematics , control (management) , algorithm , physics , quantum mechanics , statistics , paleontology , astronomy , evolutionary biology , biology , programming language
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