Deep Reinforcement Learning in the Real World - Sergey Levine

This workshop on Deep Reinforcement Learning in the Real World aims to provide an understanding of handling unstructured environments using deep learning and formalizing behavior through reinforcement learning. The course covers topics such as off-policy model-free learning, solving for the Q-function, QT-Opt for off-policy Q-learning at scale, grasping strategies, and model-based reinforcement learning for dexterous manipulation. The intended audience for this workshop includes individuals interested in advancing their knowledge of reinforcement learning and its applications in real-world scenarios. The teaching method involves lectures and discussions led by the speaker, Sergey Levine, from the University of Berkeley.