2024
Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning
AAAI 2024technical
Our work aims at efficiently leveraging ambiguous demonstrations for the training of a reinforcement learning (RL) agent. An ambiguous demonstration can usually be interpreted in multiple ways, which severely hinders the RL agent from learning stably and efficiently. Since an optimal demonstration m…