Artificial Intelligence


Procrastinative Reinforcement Learning

Authors: Joy Chopra, Sandipan Haldar

We propose using procrastination to prepare the agent for emergency situations and to enable it to learn to finish work in shorter horizons. This can be done by regulating the discount factor or by making the agent explore for most of the episode, and taking exploitationary actions near the end. We will finish the rest of this paper very soon.

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Submission history

[v1] 2018-09-27 02:00:51

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