Towards Interpretable Policies in Multi-agent Reinforcement Learning Tasks. - Marco Crespi; Leonardo Lucio Custode; Giovanni Iacca (BIOMA, 2022)

A population-based approach for multi-agent interpretable reinforcement learning. - Marco Crespi; Andrea Ferigo; Leonardo Lucio Custode; Giovanni Iacca (Appl. Soft Comput., 2023)