Hierarchical reinforcement learning for in-hand robotic manipulation using Davenport chained rotations

Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens +3

End-to-end reinforcement learning techniques are among the most successful methods for robotic manipulation tasks. However, the training time required to find a good policy capable…