Sparse Discrete Communication Learning for Multi-Agent Cooperation Through Backpropagation
Benjamin Freed,Rohan James,Guillaume Sartoretti,Howie Choset,Benjamin Freed,Rohan James,Guillaume Sartoretti,Howie Choset
Recent approaches to multi-agent reinforcement learning (MARL) with inter-agent communication have often overlooked important considerations of real-world communication networks, such as limits on bandwidth. In this paper, we propose an approach to learning sparse discrete communication through backpropagation in the context of MARL, in which agents are incentivized to communicate as little as pos...
