2025
Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration
ICLR 2025poster
Imitation learning is a central problem in reinforcement learning where the goal is to learn a policy that mimics the expert's behavior. In practice, it is often challenging to learn the expert policy from a limited number of demonstrations accurately due to the complexity of the state space. Moreov…