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L8: Value Function Approximation (P6-DQN–basic idea) —Mathematical Foundations of RL
On The Hardness of Reinforcement Learning With Value-Function Approximation
Reinforcement Learning using Function Approximation
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Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 5 - Value Function Approximation
Approximation Theory Explained | Neural Network Expressivity & Function Approx. in AI | Lec No 30
Eric Mazumdar - Provably Convergent Independent Learning w/ Function Approximation in Competitive RL
Stanford CS234 Reinforcement Learning I Q learning and Function Approximation I 2024 I Lecture 4
UofT RL Course - Lecture 36: Flexibility of RL via Function Approximation
Value Function Approximation | Reinforcement Learning (INF8953DE) | Lecture - 6 | Part - 1
Tutorial: Introduction to Reinforcement Learning with Function Approximation
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Last Updated: August 14, 2026
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