Domain Curiosity: Learning Efficient Data Collection Strategies for Domain Adaptation
Karol Arndt,Oliver Struckmeier,Ville Kyrki,Karol Arndt,Oliver Struckmeier,Ville Kyrki
Domain adaptation is a common problem in robotics, with applications such as transferring policies from simulation to real world and lifelong learning. Performing such adaptation, however, requires informative data about the environment to be available during the adaptation. In this paper, we present domain curiosity—a method of training exploratory policies that are explicitly optimized to provid...