2025
Robot Policy Transfer with Online Demonstrations: An Active Reinforcement Learning Approach
ICRA 2025
Transfer Learning (TL) is a powerful tool that enables robots to transfer learned policies across different environments, tasks, or embodiments. To further facilitate this process, efforts have been made to combine it with Learning from Demonstrations (LfD) for more flexible and efficient policy tra