Learning High Speed Precision Table Tennis on a Physical Robot
Tianli Ding,Laura Graesser,Saminda Abeyruwan,David B. D'Ambrosio,Anish Shankar,Pierre Sermanet,Pannag R. Sanketi,Corey Lynch,Tianli Ding,Laura Graesser,Saminda Abeyruwan,David B. D'Ambrosio,Anish Shankar,Pierre Sermanet,Pannag R. Sanketi,Corey Lynch
Learning goal conditioned control in the real world is a challenging open problem in robotics. Reinforcement learning systems have the potential to learn autonomously via trial-and-error, but in practice the costs of manual reward design, ensuring safe exploration, and hyperparameter tuning are often enough to preclude real world deployment. Imitation learning approaches, on the other hand, offer ...
