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Welcome to the open course “Mathematical Foundations of Reinforcement Learning”. This course provides a mathematical but ... Reinforcement Learning Course by David Silver# Lecture 6: This lecture discusses various approaches to construct features to be used in linear This video is part of the Udacity course "Reinforcement Learning". Watch the full course at RL Course by David Silver Lecture 6 Value Function Approximation 2
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L8: Value Function Approximation (P1-Motivating example – curve fitting) —Math Foundations of RL
2.8 Linear Approximation
L8: Value Function Approximation (P8-DQN – implementation and example) —Math Foundations of RL
RL Chapter 9 Part4 (Construction of features within the linear approximation, neural networks)
Linear Approximation for a Function Value (Function of Two Variables)
Linear Value Function Approximation
RL Course by David Silver Lecture 6 Value Function Approximation 2
10.8- Linear Approximation (Level 2)
UofT RL Course - Lecture 39: Learning Action-Value via Function Approximation
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Last Updated: June 11, 2026
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