Pascal Klink (TU Darmstadt): Self-paced Reinforcement Learning
MAR23 4.064 Marchstraße 23, Berlin, GermanyThursday Morning Lectures Abstract: Generalization and adaptation of learned skills to novel situations is a core requirement for intelligent autonomous robots. Although contextual reinforcement learning provides a principled framework for learning and generalization of behaviors across related tasks, it generally relies on uninformed sampling of environments from an unknown, uncontrolled context distribution, thus missing the