Voting-Based Multi-Agent Reinforcement Learning for Intelligent IoT

2 Jul 2019Yue XuZengde DengMengdi WangWenjun XuAnthony Man-Cho SoShuguang Cui

The recent success of single-agent reinforcement learning (RL) in Internet of things (IoT) systems motivates the study of multi-agent reinforcement learning (MARL), which is more challenging but more useful in large-scale IoT. In this paper, we consider a voting-based MARL problem, in which the agents vote to make group decisions and the goal is to maximize the globally averaged returns... (read more)

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