## CS 294: Deep Reinforcement Learning

**CS 294: Deep Reinforcement Learning (Spring 2017, UC Berkeley)**. Instructors: Sergey Levine, John Schulman, and Chelsea Finn. This course will assume some familiarity with reinforcement learning, numerical optimization and machine learning. The course covers topics: Supervised learning and decision making; Basic reinforcement learning: Q-learning and policy gradients; Advanced model learning and prediction; Advanced deep reinforcement learning: trust region policy gradients, actor-critic methods, exploration; Open problems and research talks.

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CS 294: Deep Reinforcement Learning (Spring 2017)Instructors: Sergey Levine, John Schulman, and Chelsea Finn. Lecture Slides. Readings. Assignments. This course will assume some familiarity with reinforcement learning, numerical optimization and machine learning. |