Improving Coordination in Small-Scale Multi-Agent Deep Reinforcement Learning through Memory-driven Communication

12 Jan 2019Emanuele PesceGiovanni Montana

Deep reinforcement learning algorithms have recently been used to train multiple interacting agents in a centralised manner whilst keeping their execution decentralised. When the agents can only acquire partial observations and are faced with tasks requiring coordination and synchronisation skills, inter-agent communication plays an essential role... (read more)

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