Improved Q-Learning Applied to Dynamic Obstacle Avoidance and Path Planning-Reference-Cited by-同舟云学术

Improved Q-Learning Applied to Dynamic Obstacle Avoidance and Path Planning

Author:

Wang Chunlei¹,Yang Xiao²^ORCID,Li He³

Affiliation:

1. School of Public Administration, China University of Mining and Technology, Xuzhou, China

2. School of Computer Science and Technology, Harbin Engineering University, Harbin, China

3. Department of Languages and Communication Studies, Beijing Jiaotong University, Beijing, China

Funder

Jiangsu Social Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference37 articles.

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3. Extended Q-learning algorithm for path-planning of a mobile robot;das;Proc Asia–Pacific Conf Simulated Evol Learn,2010

4. Hierarchical reinforcement learning for robot navigation;bischoff;Proc Eur Symp Artif Neural Netw Comput Intell Mach Learn (ESANN),2013

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