Provably Efficient Reinforcement Learning With Linear Function Approximation Chi Jin

By Editorial Team · September 28, 2026 · 9 min read

Provably Efficient Reinforcement Learning With Linear Function Approximation Chi Jin Information Guide

  1. Introduction to Provably Efficient Reinforcement Learning With Linear Function Approximation Chi Jin
  2. Core Information
  3. Recent Updates
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Introduction to Provably Efficient Reinforcement Learning With Linear Function Approximation Chi Jin

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Recent Updates

Information Lecture 16: Foundations of Reinforcement Learning: General Function Approximation News
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Lecture 21: Foundations of Reinforcement Learning: Partially Observable Reinforcement Learning I
Lecture 21: Foundations of Reinforcement Learning: Partially Observable Reinforcement Learning I
Exploration in reinforcement learning - Chi Jin
Exploration in reinforcement learning - Chi Jin
Lecture 14: Foundations of Reinforcement Learning: Least-Squares Value Iteration
Lecture 14: Foundations of Reinforcement Learning: Least-Squares Value Iteration
Lecture 12: Foundations of Reinforcement Learning: Offline RL
Lecture 12: Foundations of Reinforcement Learning: Offline RL
Machine Learning - Reinforcement Learning - Linear Function Approximation
Machine Learning - Reinforcement Learning - Linear Function Approximation
RL Theory Seminar: Chi Jin
RL Theory Seminar: Chi Jin
Lecture 6: Foundations of Reinforcement Learning: Generative Models
Lecture 6: Foundations of Reinforcement Learning: Generative Models
Lecture 22: Foundations of Reinforcement Learning: Partially Observable Reinforcement Learning II
Lecture 22: Foundations of Reinforcement Learning: Partially Observable Reinforcement Learning II
Chi Jin-Talk Title: When Is Partially Observable Reinforcement Learning Not Scary
Chi Jin-Talk Title: When Is Partially Observable Reinforcement Learning Not Scary
Lightning Talks - Chi Jin, Lin Yang, Alec Koppel, Karan Singh, Nataly Brukhim
Lightning Talks - Chi Jin, Lin Yang, Alec Koppel, Karan Singh, Nataly Brukhim
Lecture 20: Foundations of Reinforcement Learning: Multiplayer General-Sum Games
Lecture 20: Foundations of Reinforcement Learning: Multiplayer General-Sum Games

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Last Updated: September 28, 2026

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Information Lecture 17: Foundations of Reinforcement Learning: Exploration in General Function Approximation News
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Workshop on Theory of Deep Learning: Where next? Topic: Provably Efficient Reinforcement Learning Lectures from ECE524 Foundations of Short talks by postdoctoral members Topic: Exploration in This presentation demonstrates a Talk Abstract: Partially observability is ubiquitous in applications of

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