Neural episodic control with state abstraction
Existing Deep Reinforcement Learning (DRL) algorithms suffer from sample inefficiency.Generally, episodic control-based approaches are solutions that leveragehighly-rewarded past experiences to improve sample efficiency of DRL algorithms.However, previous episodic control-based approaches fail to ut...
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| Main Authors: | , , , , , , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2023
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/8231 https://ink.library.smu.edu.sg/context/sis_research/article/9234/viewcontent/1059_neural_episodic_control_with_s.pdf |
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| Institution: | Singapore Management University |
| Language: | English |