Provably Efficient Reinforcement Learning With Linear Function Approximation

By Editorial Team · September 28, 2026 · 5 min read

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Reinforcement Learning using Function Approximation
Reinforcement Learning using Function Approximation
1A3 Differentially Private Reinforcement Learning with Linear Function Approximation
1A3 Differentially Private Reinforcement Learning with Linear Function Approximation
Lecture 16: Foundations of Reinforcement Learning: General Function Approximation
Lecture 16: Foundations of Reinforcement Learning: General Function Approximation
Linear Value Function Approximation
Linear Value Function Approximation
Function Approximation | Reinforcement Learning Part 5
Function Approximation | Reinforcement Learning Part 5
IFML Seminar: 9/27/24 - Computationally Efficient Reinforcement Learning
IFML Seminar: 9/27/24 - Computationally Efficient Reinforcement Learning
Introduction to Reinforcement Learning (Lecture 05 - Value Function Approximation) (Part 1)
Introduction to Reinforcement Learning (Lecture 05 - Value Function Approximation) (Part 1)
On The Hardness of Reinforcement Learning With Value-Function Approximation
On The Hardness of Reinforcement Learning With Value-Function Approximation
Provably efficient reinforcement learning with Dr. Akshay Krishnamurthy | Podcast
Provably efficient reinforcement learning with Dr. Akshay Krishnamurthy | Podcast
A Finite Time Analysis of Temporal Difference Learning With Linear Function Approximation
A Finite Time Analysis of Temporal Difference Learning With Linear Function Approximation
Introduction to Reinforcement Learning (Lecture 05 - Value Function Approximation) (Part 4)
Introduction to Reinforcement Learning (Lecture 05 - Value Function Approximation) (Part 4)

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Last Updated: September 28, 2026

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Full 5.02 Linear Function Approximation News
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Summary

Provably Efficient Reinforcement Learning with Linear Function Approximation Workshop on Theory of Deep Learning: Where next? Topic: This presentation demonstrates a In this video, I demo a test I designed to help develop a RL algo with ... work on differentiated private uh Lectures from ECE524 Foundations of This video is part of the Udacity course " Reach out to us :) truetheta.io Here, we learn about Abstract: One of the most natural approaches to Episode 117 | June 3, 2020 MSR's New York City lab is home to some of the best Jalaj Bhandari, Daniel Russo and Raghav Singal A Finite Time Analysis of Temporal Difference

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