Introduction to Provably Efficient Reinforcement Learning With Linear Function Approximation Chi Jin
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Machine Learning - Reinforcement Learning - Linear Function Approximation
Lecture 21: Foundations of Reinforcement Learning: Partially Observable Reinforcement Learning I
Linear Value Function Approximation
Exploration in reinforcement learning - Chi Jin
Function Approximation | Reinforcement Learning Part 5
RL Theory Seminar: Chi Jin
Lecture 12: Foundations of Reinforcement Learning: Offline RL
Lecture 6: Foundations of Reinforcement Learning: Generative Models
Lecture 22: Foundations of Reinforcement Learning: Partially Observable Reinforcement Learning II
Lightning Talks - Chi Jin, Lin Yang, Alec Koppel, Karan Singh, Nataly Brukhim
Reinforcement Learning using Function Approximation
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Last Updated: August 16, 2026
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