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Reinforcement Learning Series: Overview of Methods
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Classroom Contents
Reinforcement Learning
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- 1 Reinforcement Learning: Machine Learning Meets Control Theory
- 2 Reinforcement Learning Series: Overview of Methods
- 3 Model Based Reinforcement Learning: Policy Iteration, Value Iteration, and Dynamic Programming
- 4 Q-Learning: Model Free Reinforcement Learning and Temporal Difference Learning
- 5 Nonlinear Control: Hamilton Jacobi Bellman (HJB) and Dynamic Programming
- 6 Deep Reinforcement Learning: Neural Networks for Learning Control Laws
- 7 Overview of Deep Reinforcement Learning Methods
- 8 Deep Reinforcement Learning for Fluid Dynamics and Control
