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Function Approximation | Reinforcement Learning Part 5
LECT-53: Introduction of Q-Function / Relation between PDF ,CDF & Q-function
5.01 Value Function Approximation
CS330: Lec19 Approximate Q-Learning
pdf, cdf, Q-function, Error function (erf)
Zap Q-learning with Nonlinear Function Approximation
Q Learning Algorithm | Reinforcement learning | Machine Learning by Dr. Mahesh Huddar
Approximate Q-learning Berkeley Pacman
UofT RL Course - Lecture 39: Learning Action-Value via Function Approximation
Lec 49 Analysis of Limiting Dynamics in Q-Learning with Function Approximation
Sean Meyn: Zap Q-learning with Nonlinear Function Approximation
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Last Updated: October 21, 2026
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This video is part of the Udacity course "Reinforcement Learning". Watch the full course at udacity.com/course/ud600. Mastering Reinforcement Learning Reach out to us :) truetheta.io Here, we learn about How pdf (probability density function), cdf (cumulative distribution function), Video for NeurIPS 2020 Authors: Shuhang Chen Adithya M. Devraj Fan Lu Ana Busic and Sean Meyn Thank you Pamelli Marafon ... inst.eecs.berkeley.edu/~cs188/pacman/home.html. We extend the value learning idea to learning of Action-Value