Model Based Reinforcement Learning: Policy Iteration, Value Iteration, and Dynamic Programming
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Q-Learning: Model Free Reinforcement Learning and Temporal Difference Learning
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Markov Decision Processes 1 - Value Iteration | Stanford CS221: AI (Autumn 2019)
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Nonlinear Control: Hamilton Jacobi Bellman (HJB) and Dynamic Programming
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Reinforcement Learning Series: Overview of Methods
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Bellman Equations, Dynamic Programming, Generalized Policy Iteration | Reinforcement Learning Part 2
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Resolva processos de decisão de Markov com o algoritmo de iteração de valor - Computerphile
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Reinforcement Learning: Machine Learning Meets Control Theory
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