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ACCNet: Actor-Coordinator-Critic Net for "Learning-to-Communicate" with Deep Multi-agent Reinforcement Learning
[article]
2017
arXiv
pre-print
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In this paper, we propose an Actor-Coordinator-Critic Net (ACCNet) framework for solving "learning-to-communicate" problem. ...
The ACCNet naturally combines the powerful actor-critic reinforcement learning technology with deep learning technology. ...
Acknowledgments The authors would like to thank Xiangyu Liu, Weichen Ke, Chao Ma, Quanbin Wang, Yiping Song and the anonymous reviewers for their insightful comments. ...
arXiv:1706.03235v3
fatcat:ejrksp7d5rchlja76n7f3icyfi
Mixed Cooperative-Competitive Communication Using Multi-agent Reinforcement Learning
[chapter]
2021
Lecture Notes in Networks and Systems
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A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
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2021 pre-print arXiv:2110.15762v1 fatcat:6ziklslpjzbb3dkzftkx3ewfzm
By using communication between multiple agents in multi-agent environments, one can reduce the effects of partial observability by combining one agent's observation with that of others in the same dynamic ...
In this paper, we apply differentiable inter-agent learning (DIAL), designed for cooperative settings, to a mixed cooperative-competitive setting. ...
We gratefully acknowledge the support of NVIDIA Corporation with the donation of the Titan Xp GPU used for this research. ...
doi:10.1007/978-3-030-89899-1_20
fatcat:ren57xjauzfjhkbtkzhk6di4fe