Adaptive Teaching in Heterogeneous Agents: Balancing Surprise in Sparse Reward Scenarios

Emma Clark, Kanghyun Ryu, Negar Mehr

Learning from Demonstration (LfD) can be an efficient way to train systems with analogous agents by enabling ``Student'' agents to learn from the demonstrations of the most experie…