Trust-Based Multi-Agent Imitation Learning for Green Edge Computing in Smart Cities-Reference-Cited by-同舟云学术

Trust-Based Multi-Agent Imitation Learning for Green Edge Computing in Smart Cities

Author:

Zeng Pengjie¹^ORCID,Liu Anfeng¹^ORCID,Zhu Chunsheng²^ORCID,Wang Tian³^ORCID,Zhang Shaobo⁴^ORCID

Affiliation:

1. School of Computer Science and Engineering, Central South University, Changsha, China

2. College of Big Data and Internet, Shenzhen Technology University, Shenzhen, China

3. School of Artificial Intelligence and Future Networks, Beijing Normal University & UIC, Zhuhai, China

4. School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, China

Funder

National Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Renewable Energy, Sustainability and the Environment

Link

Reference45 articles.

1. Multi-agent generative adversarial imitation learning;song;Proc Adv Neural Inf Process Syst,2018

2. Policy gradient methods for reinforcement learning with function approximation;sutton;Proc Adv Neural Inf Process Syst,2000

5. Ex2: Exploration with exemplar models for deep reinforcement learning;fu;Advances in neural information processing systems,2017

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