Methods and systems for performing reinforcement learning in hierarchical and temporally extended environments
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United States of America Patent
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Mar 2, 2017
app pub date -
Aug 26, 2015
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Aug 26, 2015
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Abstract
A system implementing reinforcement learning the system comprising a computer processor and a computer readable medium having computer executable instructions executed by said processor; said computer readable medium including instructions for providing: an action values module that receives environmental state as input, containing at least one adaptive element that learns state and/or action values based on an error signal; an action selection module coupled to the action values module; and an error calculation module coupled to both the action values and action selection module, which computes an error signal used to update state and/or action values in the action values module.
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