Tabla de Contenidos: “…-- Policy representation -- Policy gradients -- The REINFORCE method -- The CartPole example -- Results -- Policy-based versus value-based methods -- REINFORCE issues -- Full episodes are required -- High gradients variance -- Exploration -- Correlation between samples -- PG on CartPole -- Results -- PG on Pong -- Results -- Summary -- Chapter 10 - The Actor-Critic Method -- Variance reduction -- CartPole variance -- Actor-critic -- A2C on Pong -- A2C on Pong results -- Tuning hyperparameters -- Learning rate -- Entropy beta -- Count of environments -- Batch size -- Summary -- Chapter 11 - Asynchronous Advantage Afctor-Critic -- Correlation and sample efficiency -- Adding an extra A to A2C -- Multiprocessing in Python -- A3C - data parallelism -- Results -- A3C - gradients parallelism -- Results -- Summary -- Chapter 12 - Chatbots Training with RL -- Chatbots overview -- Deep NLP basics -- Recurrent Neural Networks -- Embeddings -- Encoder-Decoder…”

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Materias: “…deep deterministic policy gradient…”

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Materias: “…transvalvular pressure gradients…”

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