Sample Efficient Reinforcement Learning Chi

June 13, 2026
Media Summary: Sample Efficient Reinforcement Learning Chi Trying the door opening task we tried out lination we saw the Title: Bellman Eluder Dimension: New Rich Classes of RL Problems, and

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Sample Efficient Reinforcement Learning Chi Trying the door opening task we tried out lination we saw the Title: Bellman Eluder Dimension: New Rich Classes of RL Problems, and Alekh Agarwal, Microsoft Research New York Interactive Short talks by postdoctoral members Topic: Exploration in Workshop on Theory of Deep Learning: Where next? Topic: Provably

Harm Van Seijen speaks at DLRL Summer School with his lecture on

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Sample Efficient Reinforcement Learning, Chi-Guhn Lee @ U Toronto
Sample Efficient Reinforcement Learning
Shane Gu: Sample Efficient Deep Reinforcement Learning for Robotics
Chi Jin: Bellman Eluder Dimension: New Rich Classes of RL Problems and Sample-Efficient Algorithms
How To Improve Sample Efficiency For RL Agents? - AI and Machine Learning Explained
Sample-Efficient Reinforcement Learning of Undercomplete POMDPs.
Sample-Efficient Reinforcement Learning with Rich Observations
Efficient Reinforcement Learning – Rhythm Garg & Linden Li, Applied Compute
Exploration in reinforcement learning - Chi Jin
Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning - Sham Kakade
How Can RL Agents Overcome Poor Sample Efficiency? - AI and Machine Learning Explained
Provably Efficient Reinforcement Learning with Linear Function Approximation - Chi Jin

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Sample Efficient Reinforcement Learning, Chi-Guhn Lee @ U Toronto Sample Efficient Reinforcement Learning Shane Gu: Sample Efficient Deep Reinforcement Learning for Robotics Chi Jin: Bellman Eluder Dimension: New Rich Classes of RL Problems and Sample-Efficient Algorithms How To Improve Sample Efficiency For RL Agents? - AI and Machine Learning Explained Sample-Efficient Reinforcement Learning of Undercomplete POMDPs. Sample-Efficient Reinforcement Learning with Rich Observations Efficient Reinforcement Learning – Rhythm Garg & Linden Li, Applied Compute Uncovering The Reality Behind Kora TV's Dominance In Ghanaian Entertainment Uncovering The Hidden Science Behind Kora Plus: Is It Worth The Hype? Yalla Kora Comparison Angle: The Jarring Truth About Ghana's Kora TV Viewership Growth Streaming Frenzy: How Yalla TV's Unique Content Strategy Dominates The Market You Won't Believe The Kora Plus Mistakes Even Experts Make - Here's What To Do Instead Yalla Kora Emotional Angle: Why Live Your Best Life Is A Recipe For Burnout And 5 Unexpected Solutions To Fix It
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Sample Efficient Reinforcement Learning, Chi-Guhn Lee @ U Toronto

Sample Efficient Reinforcement Learning, Chi-Guhn Lee @ U Toronto

Details: https://sites.google.com/modelingtalks.org/entry/

Sample Efficient Reinforcement Learning

Sample Efficient Reinforcement Learning

Sample Efficient Reinforcement Learning Chi

Shane Gu: Sample Efficient Deep Reinforcement Learning for Robotics

Shane Gu: Sample Efficient Deep Reinforcement Learning for Robotics

Trying the door opening task we tried out lination we saw the

Chi Jin: Bellman Eluder Dimension: New Rich Classes of RL Problems and Sample-Efficient Algorithms

Chi Jin: Bellman Eluder Dimension: New Rich Classes of RL Problems and Sample-Efficient Algorithms

Title: Bellman Eluder Dimension: New Rich Classes of RL Problems, and

How To Improve Sample Efficiency For RL Agents? - AI and Machine Learning Explained

How To Improve Sample Efficiency For RL Agents? - AI and Machine Learning Explained

How To Improve

Sample-Efficient Reinforcement Learning of Undercomplete POMDPs.

Sample-Efficient Reinforcement Learning of Undercomplete POMDPs.

https://arxiv.org/abs/2006.12484

Sample-Efficient Reinforcement Learning with Rich Observations

Sample-Efficient Reinforcement Learning with Rich Observations

Alekh Agarwal, Microsoft Research New York https://simons.berkeley.edu/talks/alekh-agarwal-02-15-2017 Interactive

Efficient Reinforcement Learning – Rhythm Garg & Linden Li, Applied Compute

Efficient Reinforcement Learning – Rhythm Garg & Linden Li, Applied Compute

Reinforcement learning

Exploration in reinforcement learning - Chi Jin

Exploration in reinforcement learning - Chi Jin

Short talks by postdoctoral members Topic: Exploration in

Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning - Sham Kakade

Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning - Sham Kakade

Workshop on New Directions in

How Can RL Agents Overcome Poor Sample Efficiency? - AI and Machine Learning Explained

How Can RL Agents Overcome Poor Sample Efficiency? - AI and Machine Learning Explained

We'll start by explaining what

Provably Efficient Reinforcement Learning with Linear Function Approximation - Chi Jin

Provably Efficient Reinforcement Learning with Linear Function Approximation - Chi Jin

Workshop on Theory of Deep Learning: Where next? Topic: Provably

DLRLSS 2019 - Sample Efficient RL - Harm Van Seijen

DLRLSS 2019 - Sample Efficient RL - Harm Van Seijen

Harm Van Seijen speaks at DLRL Summer School with his lecture on