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Reinforcement Learning 5: Function Approximation and Deep Reinforcement Learning
Eligibility Traces
RL Course by David Silver - Lecture 6: Value Function Approximation
Function Approximation | Reinforcement Learning Part 5
Tutorial: Introduction to Reinforcement Learning with Function Approximation
What Are the Statistical Limits of Offline Reinforcement Learning With Function Approximation
Tutorial: Introduction to Reinforcement Learning with Function Approximation
Provably Efficient Reinforcement Learning with Linear Function Approximation
Expected Eligibility Traces
Regression and Function Approximation
Sutton and Barto Reinforcement Learning Chapter 12: Eligibility Traces Introduction and TD(Ξ»)
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Last Updated: August 16, 2026
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