Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning

1 code implementation • 1 Feb 2024 • Chia-Cheng Chiang, Li-Cheng Lan, Wei-Fang Sun, Chien Feng, Cho-Jui Hsieh, Chun-Yi Lee

In this paper, we focus on single-demonstration imitation learning (IL), a practical approach for real-world applications where acquiring multiple expert demonstrations is costly or infeasible and the ground truth reward function is not available.

Imitation Learning Reinforcement Learning (RL)