Syllabus
Review and Preliminaries
Introduction and Course Overview
Computer Vision Review
Robotics Review
Markov Decision Processes Review
Deep Reinforcement Learning
Alternatives to Solving Unknown MDPs
Model Building
Imitation Learning
Inverse Reinforcement Learning
Social Learning
Self-supervision
Exploration
Hierarchies and Skills
Multi-task Learning
Case Studies
Navigation
Manipulation
Perspectives
Lessons from Cognitive Science and Psychology
Modern Deep RL vs Classical Control
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