Improving sample efficiency using attention in deep reinforcement learning

Improving sample efficiency using attention in deep reinforcement learning

Reinforcement learning is becoming increasingly popular due to its cumulative feats in mainstream games such as DOTA2 and Go as well as its applicability to many fields. It has displayed potential in exceeding human levels of performance in complicated environments and sequential decision-making pro...

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Bibliographic Details
Main Author: Ong, Dorvin Poh Jie
Other Authors: Lee Bu Sung, Francis
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2021
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Online Access:https://hdl.handle.net/10356/150563

Internet

https://hdl.handle.net/10356/150563

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