Hierarchical Episodic Control
Deep reinforcement learning is one of the research hotspots in artificial intelligence and has been successfully applied in many research areas; however, the low training efficiency and high demand for samples are problems that limit the application. Inspired by the rapid learning mechanisms of the...
Main Authors: | Rong Zhou, Zhisheng Zhang, Yuan Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-10-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/13/20/11544 |
Similar Items
-
A Sub-Second Method for SAR Image Registration Based on Hierarchical Episodic Control
by: Rong Zhou, et al.
Published: (2023-10-01) -
Sample Efficient Reinforcement Learning Method via High Efficient Episodic Memory
by: Dujia Yang, et al.
Published: (2020-01-01) -
Hierarchical Reinforcement Learning: A Survey and Open Research Challenges
by: Matthias Hutsebaut-Buysse, et al.
Published: (2022-02-01) -
Forgetting Enhances Episodic Control With Structured Memories
by: Annik Yalnizyan-Carson, et al.
Published: (2022-03-01) -
Uncertainty alters the balance between incremental learning and episodic memory
by: Jonathan Nicholas, et al.
Published: (2022-12-01)