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Semi-Supervised Imitation Learning of Team Policies from Suboptimal Demonstrations
In contrast to existing multi-agent imitation learning techniques, BTIL explicitly models and infers the time-varying mental states of team members, thereby enabling learning of decentralized team policies from demonstrations of suboptimal teamwork.
Towards an AI Coach to Infer Team Mental Model Alignment in Healthcare
Shared mental models are critical to team success; however, in practice, team members may have misaligned models due to a variety of factors.
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