Towards Safe and Efficient Learning in the Physical World - Stanford Seminar

This seminar examines methods for safe, efficient online learning through interaction with the physical world. It covers safe Bayesian optimization, Bayesian model-based deep reinforcement learning, and meta-learning probabilistic models, with examples from robotics and laser tuning.