Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance

These challenges are partially due to a lack of structure or inductive bias in the neural networks typically used in learning the policy. One such form of structure that is commonly observed in multi-agent scenarios is symmetry.