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Reinforcement Learning Course

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Dormant Last read 4 days ago · last published 5 years ago · next check scheduled
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RL Chapter 5 Part3 (On-policy Monte-Carlo methods)

Jan 26, 2022 · Frédéric Godin - Concordia

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RL Chapter 5 Part2 (Monte-Carlo methods with exploring starts for control)

Jan 26, 2022 · Frédéric Godin - Concordia

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RL Chapter 5 Part1 (Monte-Carlo methods in Reinforcement Learning)

Jan 26, 2022 · Frédéric Godin - Concordia

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RL Chap4 Part2 (Dynamic Programming)

Jan 26, 2022 · Frédéric Godin - Concordia

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RL Chap4 Part1 (Dynamic Programming)

Jan 26, 2022 · Frédéric Godin - Concordia

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RL Chapter 3 Part3 (Bellman optimality equation and optimal policies)

Jan 26, 2022 · Frédéric Godin - Concordia

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RL Chapter 3 Part2 (Markov Decision Processes, value function, Bellman equation)

Jan 26, 2022 · Frédéric Godin - Concordia

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RL Chapter 2 Part3 (Upper confidence bounds, action preferences, contextual bandits)

Jan 26, 2022 · Frédéric Godin - Concordia

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RL Chapter 2 Part2 (Multi-armed bandits: Recursive value estimates formulas, setting initial values)

Jan 26, 2022 · Frédéric Godin - Concordia

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RL Chapter 2 Part1 (Multi-armed bandits problems, epsilon-greedy policies)

Jan 26, 2022 · Frédéric Godin - Concordia

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