Learning multi-agent communication with double attentional deep reinforcement learning
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DOI: 10.1007/s10458-020-09455-w
Abstract: Communication is a critical factor for the big multi-agent world to stay organized and productive. Recently, Deep Reinforcement Learning (DRL) has been adopted to learn the communication among multiple intelligent agents. However, in terms of… read more here.
Keywords: communication; multi agent; reinforcement learning; double attentional ... See more keywords