Distributed Multi-Agent Reinforcement Learning by Actor-Critic Method-Reference-Cited by-同舟云学术

Distributed Multi-Agent Reinforcement Learning by Actor-Critic Method

Published:2019 Issue:20 Volume:52 Page:363-368
ISSN:2405-8963
Container-title:IFAC-PapersOnLine
language:en
Short-container-title:IFAC-PapersOnLine

Author:

Heredia Paulo C.,Mou Shaoshuai

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference19 articles.

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3. Dai, B., Shaw, A., Li, L., Xiao, L., He, N., Liu, Z., Chen, J., and Song, L. (2018). Sbeed: Convergent reinforcement learning with nonlinear function approximation. In ICML 2018.

4. Qd-learning: A collaborative distributed strategy for multi-agent reinforcement learning through consensus+innovations;Kar;IEEE Transactions on Signal Processing,2013

5. Konda, V.R. and Tsitsiklis, J.N. (2000). Actor-critic algorithms. In Advances in neural information processing systems, 1008–1014.

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