Asymmetric Self-Play-Enabled Intelligent Heterogeneous Multirobot Catching System Using Deep Multiagent Reinforcement Learning-Reference-Cited by-同舟云学术

Asymmetric Self-Play-Enabled Intelligent Heterogeneous Multirobot Catching System Using Deep Multiagent Reinforcement Learning

Author:

Gao Yuan¹^ORCID,Chen Junfeng¹^ORCID,Chen Xi²,Wang Chongyang³^ORCID,Hu Junjie¹^ORCID,Deng Fuqin¹^ORCID,Lam Tin Lun¹^ORCID

Affiliation:

1. Shenzhen Institute of Artificial Intelligence and Robotics for Society, The Chinese University of Hong Kong, Shenzhen, China

2. Department of Automation, Tsinghua University, Beijing, China

3. University College London, London, U.K.

Funder

National Key R&D Program of China

China Postdoctoral Science Foundation

Basic and Applied Basic Research Foundation of Guangdong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Link

Reference80 articles.

2. Qplex: Duplex dueling multi-agent Q-learning;wang;Proc Int Conf Learn Representations,0

4. Qmix: Monotonic value function factorisation for deep multi-agent reinforcement learning;rashid;Proc Int Conf Mach Learn,0

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