Multi-agent Reinforcement Learning with Emergent Communication using Discrete and Indifferentiable Message-Reference-Cited by-同舟云学术

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Multi-agent Reinforcement Learning with Emergent Communication using Discrete and Indifferentiable Message

Published:2023-12-11 Issue: Volume:29 Page:366-371
ISSN:
Container-title:2023 15th International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter)
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Author:

Ebara Hiroto¹,Nakamura Tomoaki¹,Taniguchi Akira²,Taniguchi Tadahiro²

Affiliation:

1. The University of Electro-Communications Chofu,Tokyo

2. Ritsumeikan University,Kusatsu,Shiga

Funder

JSPS KAKENHI

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10488102/10488155/10488259.pdf?arnumber=10488259

Reference24 articles.

1. Learning to Communicate with Deep Multi -agent Reinforcement Learning;Foerster;Advances in Neural Information Processing Systems,2016

2. Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments;Lowe

3. Emergent Communication at Scale;Chaabouni

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Collective predictive coding hypothesis: symbol emergence as decentralized Bayesian inference;Frontiers in Robotics and AI;2024-07-23

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