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CMU: 2018 Fall: 10-703 Deep Reinforcement Learning and Control

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Lecture 01 Introduction

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Lecture 02 Markov Decision Processes

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Lecture 03 Solving known MDPs

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Lecture 04 Solving Known MDPs

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Lecture 05 Monte Carlo Methods

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Lecture 06 Temporal Difference Method

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Lecture 07 Neural Networks Architectures for RL

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Lecture 08 Function Approximation for Prediction

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Lecture 09 Value Function

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Lecture 10 Policy Gradient Methods

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