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Reinforcement Learning Course by David Silver# Lecture 6: This lecture, after introducing state aggregation-based This lecture discusses various approaches to construct features to be used in linear All text borrowed from: Sutton, Richard S., and Andrew G. Barto. Reinforcement learning: An introduction. MIT press, 2018. Please ... Readings: David Silver Lecture 6,7 ( Sutton and Barto Lecture 3 of a 6-lecture series on the Foundations of Deep
Tenth lecture video on the course "Reinforcement Learning" at Paderborn University during the summer term 2020. Source files ... Live recording of online meeting reviewing material from "Reinforcement Learning An Introduction second edition" by Richard S. Introduction to Reinforcement Learning (CSC2547 - Spring 2021), Department of Computer Science, University of Toronto.
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RL Chapter 9 Part2 (Semi-gradient estimation methods under value function approximation)
RL Chapter 9 Part1 (Approximation methods for the value function)
RL Course by David Silver - Lecture 6: Value Function Approximation
Reinforcement learning 9 Value function approximation and Stochastic gradient descent
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Last Updated: June 14, 2026
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