Reinforcement Learning for Low Probability High Impact Risks

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Reinforcement Learning for Low Probability High Impact Risks

We demonstrate a method of reinforcement learning that uses training in simulation. Our system generates an estimate of the potential reward and danger of each action as well as a measure of the uncertainty present in both. The system generates this by seeking out not only rewarding actions but also...

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Bibliographic Details
Main Author:	Hunt, Gareth David
Format:	Thesis
Published:	Curtin University 2019
Online Access:	http://hdl.handle.net/20.500.11937/77106

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