2025
Learning Strategy Representation for Imitation Learning in Multi-Agent Games
AAAI 2025technical
The offline datasets for imitation learning (IL) in multi-agent games typically contain player trajectories exhibiting diverse strategies, which necessitate measures to prevent learning algorithms from acquiring undesirable behaviors. Learning representations for these trajectories is an effective a…