Learning Reinforcement Learning

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Learning about fundamental reinforcement learning algorithms through David Silver's RL Course and dennybritz's reinforcement-learning GitHub repo, while taking notes/implementing along the way.

Table of Contents (Finished)

• Introduction to RL problems & OpenAI Gym
• Dynamic Programming: Model-Based RL, Policy Iteration and Value Iteration
• Monte Carlo Model-Free Prediction & Control
• Temporal Difference Model-Free Prediction & Control
• Function Approximation