Deterministic generative adversarial imitation learning
Zuo, Guoyu2,3; Chen, Kexin2,3; Lu, Jiahao2,3; Huang, Xiangsheng1
刊名NEUROCOMPUTING
2020-05-07
卷号388页码:60-69
关键词Robot learning Imitation learning Reinforcement learning GAN DGAIL
ISSN号0925-2312
DOI10.1016/j.neucom.2020.01.016
通讯作者Zuo, Guoyu(zuoguoyu@bjut.edu.cn)
英文摘要This paper proposes a deterministic generative adversarial imitation learning method which allows the robot to implement the motion planning task rapidly by learning from the demonstration data without reward function. In our method, the deep deterministic policy gradient method is used as the generator for learning the action policy on the basis of discriminator, and the demonstration data is input into the generator to ensure its stability. Three experiments on the push and pick-and-place tasks are conducted in the gym robotic environment. Results show that the learning speed of our method is much faster than the stochastic generative adversarial imitation learning method, and it can effectively learn from the demonstration data in different states of the task with higher learning stability. The proposed method can complete the motion planning task without environmental reward quickly and improve the stability of the training process. (C) 2020 Elsevier B.V. All rights reserved.
WOS研究方向Computer Science
语种英语
出版者ELSEVIER
WOS记录号WOS:000520855400006
内容类型期刊论文
源URL[http://ir.ia.ac.cn/handle/173211/38722]  
专题融合创新中心_决策指挥与体系智能
通讯作者Zuo, Guoyu
作者单位1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
2.Beijing Key Lab Comp Intelligence & Intelligent S, Beijing 100124, Peoples R China
3.Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
推荐引用方式
GB/T 7714
Zuo, Guoyu,Chen, Kexin,Lu, Jiahao,et al. Deterministic generative adversarial imitation learning[J]. NEUROCOMPUTING,2020,388:60-69.
APA Zuo, Guoyu,Chen, Kexin,Lu, Jiahao,&Huang, Xiangsheng.(2020).Deterministic generative adversarial imitation learning.NEUROCOMPUTING,388,60-69.
MLA Zuo, Guoyu,et al."Deterministic generative adversarial imitation learning".NEUROCOMPUTING 388(2020):60-69.
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