Learning Multi-Agent Communication through Structured Attentive Reasoning

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Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing (2021, background): “…on novel techniques for experience sharing (Christianos et al., 2020), agent modelling (Albrecht & Stone, 2018), and communication be-tween agents (Rangwala & Williams, 2020; Zhang et al., 2020) to address the non-stationarity and multi-agent credit assignment problems (Papoudakis et al., 2019).”
A review of cooperative multi-agent deep reinforcement learning (2019, background): “Structured Attentive Reasoning Network (SARNet), a novel communication framework to learn how to communicate with other agents, was proposed by [163].”