Kento Okumura

Sample-Efficient Learning of a Robotic Tube Insertion Policy

Reinforcement learning for manipulation with real robots is complicated when faced with object variations and contact dynamics.Further, achieving support across a category of objects for manipulation is in itself a challenging task. A recent work that addresses training inefficiencies on a real robo