Vernon Lawhern

R2BC: Multi-Agent Imitation Learning from Single-Agent Demonstrations

Imitation Learning (IL) is a natural way for humans to teach robots, particularly when high-quality demonstrations are easy to obtain. While IL has been widely applied to single-robot settings, relatively few studies have addressed the extension of these methods to multi-agent systems, especially in…