Sample Efficient Reinforcement Learning Method via High Efficient Episodic Memory
Reinforcement Learning (RL), especially Deep Reinforcement Learning (DRL), has made great progress in many areas, such as robots, video games and driving. However, sample inefficiency is a big obstacle to the widespread practical application of DRL. Inspired by the decision making in human brain, th...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9141230/ |