NDLI: Opleiding Informatica Psychology-Inspired Memory Sampling in a Deep Q Network

Content Provider	Semantic Scholar
Author	Meyer, Samuel J.
Copyright Year	2019
Abstract	Deep Q-Learning uses a method called experience replay which re-uses past experiences of an agent in learning to complete some task. This increases the learning speed and information efficiency of the agent. Several psychology-inspired methods for memory sampling from replay memory were implemented. Performance of these was compared to two established methods for an exploration task in a partially observable environment. The psychology-inspired methods performed approximately as well as the standard method of random sampling, but worse than prioritized memories sampling. Due to being computationally much more expensive this makes them not recommendable.
File Format	PDF HTM / HTML
Alternate Webpage(s)	https://theses.liacs.nl/pdf/2018-2019-MeyerS.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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