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A Communication-Efficient Multi-Agent Actor-Critic Algorithm for Distributed Reinforcement Learning.
Yixuan Lin
Kaiqing Zhang
Zhuoran Yang
Zhaoran Wang
Tamer Basar
Romeil Sandhu
Ji Liu
Published in:
CDC (2019)
Keyphrases
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reinforcement learning
multi agent
actor critic
learning algorithm
objective function
computational complexity
dynamic programming
optimal solution
cost function
simulated annealing
monte carlo
function approximation
machine learning
state space
optimal control
reinforcement learning algorithms
average reward