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Value Function Approximation 17:32
📺 ECE 457C Reinforcement Learning 👁️ 4,434 views

Value Function Approximation Information Guide

  1. About of Value Function Approximation
  2. Important Facts
  3. History
  4. Deep Dive
  5. Final Thoughts

About of Value Function Approximation

RL Course by David Silver - Lecture 6: Value Function Approximation Update
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Important Facts

Information Function Approximation | Reinforcement Learning Part 5 Update
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History

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Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 5 - Value Function Approximation
Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 5 - Value Function Approximation
On The Hardness of Reinforcement Learning With Value-Function Approximation
On The Hardness of Reinforcement Learning With Value-Function Approximation
L8: Value Function Approximation (P6-DQN–basic idea) —Mathematical Foundations of RL
L8: Value Function Approximation (P6-DQN–basic idea) —Mathematical Foundations of RL
Reinforcement Learning 5: Function Approximation and Deep Reinforcement Learning
Reinforcement Learning 5: Function Approximation and Deep Reinforcement Learning
Lecture 17: Foundations of Reinforcement Learning: Exploration in General Function Approximation
Lecture 17: Foundations of Reinforcement Learning: Exploration in General Function Approximation
Value Function Approximation
Value Function Approximation
DeepMind x UCL RL Lecture Series - Function Approximation [7/13]
DeepMind x UCL RL Lecture Series - Function Approximation [7/13]
Reinforcement learning 9 Value function approximation and Stochastic gradient descent
Reinforcement learning 9 Value function approximation and Stochastic gradient descent
Value Functions - Fundamentals of Reinforcement Learning
Value Functions - Fundamentals of Reinforcement Learning
Learn Linear Approximation In 5 Minutes
Learn Linear Approximation In 5 Minutes
On the Hardness of Reinforcement Learning With Value-function Approximation
On the Hardness of Reinforcement Learning With Value-function Approximation

Deep Dive

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Last Updated: August 23, 2026

Final Thoughts

Information 5.01 Value Function Approximation Guide
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