2020
Bayesian Multi-type Mean Field Multi-agent Imitation Learning
NeurIPS 2020spotlight
Multi-agent Imitation learning (MAIL) refers to the problem that agents learn to perform a task interactively in a multi-agent system through observing and mimicking expert demonstrations, without any knowledge of a reward function from the environment. MAIL has received a lot of attention due to pr…