Transfer Learning in Robotics: An Upcoming Breakthrough? A Review of Promises and Challenges

arXiv:2311.18044v3 Announce Type: replace-cross
Abstract: Transfer learning is a conceptually-enticing paradigm in pursuit of truly intelligent embodied agents. The core concept -- reusing prior knowledge to learn in and from novel situations -- is successfully leveraged by humans to handle novel situations. In recent years, transfer learning has received renewed interest from the community from different perspectives, including imitation learning, domain adaptation, and transfer of experience from simulation to the real world, among others. In this paper, we unify the …

abstract agents arxiv challenges concept core cs.lg cs.ro embodied humans intelligent knowledge learn novel paradigm prior review robotics transfer transfer learning type