Teammate Policy

Teammate policy research focuses on enabling agents to effectively collaborate with diverse and unforeseen partners in multi-agent systems. Current work centers on generating diverse yet strategically informative sets of teammate policies for training, employing algorithms that optimize for best-response diversity or minimize coverage sets to maximize robustness. This research is significant because it addresses a critical challenge in achieving generalizable and reliable teamwork in complex environments, with implications for applications ranging from robotics to human-computer interaction.