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暂时延长的继任者功能是神经节期控制神经节期控制

Xianchao Zhu^1,2,3

¹Key Laboratory of Grain Information Processing and Control (Henan University of Technology), Ministry of Education, Zhengzhou, 450001, China. xczhuiffs@163.com.

Scientific reports

|July 2, 2024

概括

本研究介绍了临时扩展后继特征神经情节控制 (TESFNEC),这是一个新的强化学习框架. 通过插曲记忆和时间抽象,TESFNEC通过提高样本效率和政策学习速度来增强代理人培训.

科学领域:

人工智能的人工智能
机器学习机器学习
强化学习是一种强化学习.

背景情况:

强化学习的目的是快速获得和转移技能,模仿生物学习.
当前的方法往往需要广泛的培训代,并与高效的策略重用作斗争.

研究的目的:

引入一种新的情节性控制框架,即临时扩展后继特征神经情节性控制 (TESFNEC).
增强强化学习代理的样本效率和政策学习速度.
为了使灵活的技能转移和重新使用以前学习的策略.

主要方法:

开发了TESFNEC,这是一个利用继任特征的时间扩展的情节性控制框架.
集成的情节性记忆加速代理人培训和政策优化.
采用时间抽象,专注于自下而上的行动组合,没有预定义的层次结构.

主要成果:

与基线强化学习方法相比,TESFNEC显著提高了样本效率.
该框架显示了最佳政策的更快学习,减少了所需的代.
在2D物体收集环境中的实验结果显示,平均回报率更高.

结论:

TESFNEC提供了一种强大的方法,用于开发具有增强学习能力的智能代理.
该方法有效地利用情节性记忆和时间抽象来提高性能.
这一框架推动了创造有效学习和转移技能的代理人的目标.

关键词:

情节性控制是指情节性控制.强化学习是一种强化学习.继任者的特点是继任者的特点.时间抽象是时间抽象.

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