Improved Deep Deterministic Policy Gradient for Dynamic Obstacle Avoidance of Mobile Robot-Reference-Cited by-同舟云学术

Improved Deep Deterministic Policy Gradient for Dynamic Obstacle Avoidance of Mobile Robot

Author:

Gao Xiaoshan¹^ORCID,Yan Liang¹^ORCID,Li Zhijun²^ORCID,Wang Gang³^ORCID,Chen I-Ming⁴^ORCID

Affiliation:

1. School of Automation Science and Electrical Engineering, Beihang University, Beijing, China

2. Department of Automation, University of Science and Technology of China, Hefei, China

3. School of Automation, Beijing University of Posts and Telecommunications, Beijing, China

4. School of Mechanical and Aerospace Engineering, Nanyang Technological University, Nanyang Ave, Singapore

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

National Key Research and Development Program

Ningbo Key Scientific and Technological Project

Science and Technology on Aircraft Control Key Laboratory and Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering,Software

Link

Reference30 articles.

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