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Reinforcement Learning 4: Model-Free Prediction and Control
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Classroom Contents
Reinforcement Learning Course
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- 1 Reinforcement Learning 1: Introduction to Reinforcement Learning
- 2 Reinforcement Learning 2: Exploration and Exploitation
- 3 Reinforcement Learning 3: Markov Decision Processes and Dynamic Programming
- 4 Reinforcement Learning 4: Model-Free Prediction and Control
- 5 Reinforcement Learning 5: Function Approximation and Deep Reinforcement Learning
- 6 Reinforcement Learning 6: Policy Gradients and Actor Critics
- 7 Reinforcement Learning 7: Planning and Models
- 8 Reinforcement Learning 8: Advanced Topics in Deep RL
- 9 Reinforcement Learning 9: A Brief Tour of Deep RL Agents
- 10 Reinforcement Learning 10: Classic Games Case Study
