Cameron Haigh

Offline Learning of Counterfactual Predictions for Real-World Robotic Reinforcement Learning

We consider real-world reinforcement learning (RL) of robotic manipulation tasks that involve both visuomotor skills and contact-rich skills. We aim to train a policy that maps multimodal sensory observations (vision and force) to a manipulator's joint velocities under practical considerations. We p…