Research on Attention-Based Predictive Model in Multi-Agent Reinforcement Learning-Reference-Cited by-同舟云学术

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Research on Attention-Based Predictive Model in Multi-Agent Reinforcement Learning

Published:2022-11-25 Issue: Volume: Page:
ISSN:
Container-title:2022 China Automation Congress (CAC)
language:
Short-container-title:

Author:

Hong Weixin¹,Wu Huaiyu¹,Shen Zhen²,Xiong Gang²,Hu Bin¹,Dong Xisong¹,Wang Fei-Yue¹

Affiliation:

1. Chinese Academy of Sciences,The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation,Beijing,China,100190

2. Chinese Academy of Sciences,The Beijing Engineering Research Center of Intelligent Systems and Technology, Institute of Automation,Beijing,China,100190

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10054511/10054645/10055085.pdf?arnumber=10055085

Reference13 articles.

1. Imagination-augmented agents for deep reinforcement learning[J];racanière;Advances in neural information processing systems,2017

2. Model-based reinforcement learning for atari[J];kaiser,2019

3. Model-based reinforcement learning: A survey[J];moerland,2020

4. Continuous control with deep reinforcement learning[J];lillicrap,2015

5. Recurrent Deep Multiagent Q-Learning for Autonomous Brokers in Smart Grid

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