A Linearly Constrained Nonparametric Framework for Imitation Learning
Yanlong Huang,Darwin G. Caldwell,Yanlong Huang,Darwin G. Caldwell
In recent years, a myriad of advanced results have been reported in the community of imitation learning, ranging from parametric to non-parametric, probabilistic to non-probabilistic and Bayesian to frequentist approaches. Meanwhile, ample applications (e.g., grasping tasks and humanrobot collaborations) further show the applicability of imitation learning in a wide range of domains. While numerou...
