2020
Learning Multi-Agent Communication through Structured Attentive Reasoning
NeurIPS 2020poster
Learning communication via deep reinforcement learning has recently been shown to be an effective way to solve cooperative multi-agent tasks. However, learning which communicated information is beneficial for each agent's decision-making process remains a challenging task. In order to address this p…