Notes on Reinforcement Learning: Monte Carlo method
A collections of notes of Reinforcement Learning, as I am going through the Coursera specialization: Fundamentals of Reinforcement Learning. Hopefully this w...
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Notes on Reinforcement Learning: Policy and value iterations
A collections of notes of Reinforcement Learning, as I am going through the Coursera specialization: Fundamentals of Reinforcement Learning. Hopefully this w...
Notes on Reinforcement Learning: MDP
A collections of notes of Reinforcement Learning, as I am going through the Coursera specialization: Fundamentals of Reinforcement Learning. Hopefully this w...
Notes on Reinforcement Learning: Bandit
A collections of notes of Reinforcement Learning, as I am going through the Coursera specialization: Fundamentals of Reinforcement Learning. Hopefully this w...
Notes on optimization: the basics
A series of study notes of optimization, including convex optimization, linear programming, linear simplex method, and KKT conditions.