PEnGUiN: Partially Equivariant Graph NeUral Networks for Sample Efficient MARL

Joshua McClellan, Greyson Brothers, Furong Huang +1

Equivariant Graph Neural Networks (EGNNs) have emerged as a promising approach in Multi-Agent Reinforcement Learning (MARL), leveraging symmetry guarantees to greatly improve sampl…