most citedSpecializing Inter-Agent Communication in Heterogeneous Multi-Agent Reinforcement Learning using Agent Class Information

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cs.AI2020★ 1 cited

Specializing Inter-Agent Communication in Heterogeneous Multi-Agent Reinforcement Learning using Agent Class Information

Douglas De Rizzo Meneghetti, Reinaldo Augusto da Costa Bianchi

Inspired by recent advances in agent communication with graph neural networks, this work proposes the representation of multi-agent communication capabilities as a directed labeled…

cs.AI2020

Towards Heterogeneous Multi-Agent Reinforcement Learning with Graph Neural Networks

Douglas De Rizzo Meneghetti, Reinaldo Augusto da Costa Bianchi

This work proposes a neural network architecture that learns policies for multiple agent classes in a heterogeneous multi-agent reinforcement setting. The proposed network uses dir…