Sample Efficient Reinforcement Learning Chi

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 Chi

Shane Gu: Sample Efficient Deep Reinforcement Learning for Robotics

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

Sample-Efficient Reinforcement Learning of Undercomplete POMDPs.

https://arxiv.org/abs/2006.12484

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

Sample-Efficient Reinforcement Learning with Rich Observations

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

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

Workshop on New Directions in

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

How To Improve

Provably Efficient Reinforcement Learning with Linear Function Approximation - Chi Jin

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

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

Reinforcement learning

Chi Jin-Talk Title: When Is Partially Observable Reinforcement Learning Not Scary?

Talk Abstract: Partially observability is ubiquitous in applications of

DLRLSS 2019 - Sample Efficient RL - Harm Van Seijen

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