MANGA: Method Agnostic Neural-policy Generalization and Adaptation
Homanga Bharadhwaj,Shoichiro Yamaguchi,Shin-ichi Maeda,Homanga Bharadhwaj,Shoichiro Yamaguchi,Shin-ichi Maeda
In this paper we target the problem of transferring policies across multiple environments with different dynamics parameters and motor noise variations, by introducing a framework that decouples the processes of policy learning and system identification. Efficiently transferring learned policies to an unknown environment with changes in dynamics configurations in the presence of motor noise is ver...
