Efficient Multi-Agent Exploration with Mutual-Guided Actor-Critic-Reference-Cited by-同舟云学术

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Efficient Multi-Agent Exploration with Mutual-Guided Actor-Critic

Published:2023-07-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Congress on Evolutionary Computation (CEC)
language:
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Author:

Chen Renlong¹,Tan Ying²

Affiliation:

1. School of Intelligence Science and Technology, Peking University,Key laboratory of Machine Perception (MOE),Bejing,China

2. School of Intelligence Science and Technology, Peking University, Institute for Artificial Intelligence,Key laboratory of Machine Perception (MOE),Bejing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10253662/10253666/10254169.pdf?arnumber=10254169

Reference36 articles.

1. Distributed Synchronization Control of Multiagent Systems With Unknown Nonlinearities

2. Actor-attention-critic for multi-agent reinforcement learning;iqbal;International Conference on Machine Learning,0

3. A Survey of Self-Organization Mechanisms in Multiagent Systems

4. Attentive relational state representation in de-centralized multi agent reinforcement learning;liu;IEEE Transactions on Cybernetics,2020

5. Local Community Mining on Distributed and Dynamic Networks From a Multiagent Perspective

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