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L8: Value Function Approximation (P6-DQN–basic idea) —Mathematical Foundations of RL
5.01 Value Function Approximation
Provably Efficient Reinforcement Learning with Linear Function Approximation - Chi Jin
Approximating a Function's Value | Amount of Change and Linear Approximation
Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 5 - Value Function Approximation
On The Hardness of Reinforcement Learning With Value-Function Approximation
Function Approximation | Reinforcement Learning Part 5
Finding The Linearization of a Function Using Tangent Line Approximations
DeepMind x UCL RL Lecture Series - Function Approximation [7/13]
UofT RL Course - Lecture 39: Learning Action-Value via Function Approximation
L8: Value Function Approximation (P1-Motivating example – curve fitting) —Math Foundations of RL
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Last Updated: August 23, 2026
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![DeepMind x UCL RL Lecture Series - Function Approximation [7/13]](https://i.ytimg.com/vi/ook46h2Jfb4/mqdefault.jpg)
