Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications
Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications
Inverse reinforcement learning (IRL) infers a reward function from demonstrations, allowing for policy improvement and generalization. However, despite much recent interest in IRL, little work has been done to understand the minimum set of demonstrations needed to teach a specific sequential decisionmaking task. We formalize the problem of finding maximally …