Yueyan Peng

Learning With Dual Demonstration Domains: Random Domain-Adaptive Meta-Learning

Although robots have been widely applied in various fields, allowing a robot to perform a wide range of tasks like humans is a significant challenge. One promising method is meta-learning, which enables robots to learn from demonstrations with the concept of “learning to learn.” Howeve