Joel Woodfield

Data-Efficient Reinforcement Learning

This project aims to perform an in-depth study on Schwarzer et al.’s work on Self-Predictive Representations, and develop improved algorithms for data-efficient reinforcement learning.

Joel Woodfield

The University of Queensland

Joel is a third-year bachelor of computer science student majoring in data science at the University of Queensland. He has a strong interest in machine learning, and is currently working on deep reinforcement learning. He is planning to pursue post-graduate study in machine learning in the future. His hobbies include playing music, such as the cornet in a brass band.

You may be interested in

Huateng Zhu

Limit theorems for the Curie- Weiss-Potts model

Preet Patel

Complex Analytic Aspects of Differential Equations

Jack Bridge

Covariant Derivatives in the Hull-Strominger System

Thomas Hanyang Zheng

Hidden Markov Models for Analyzing Stress Levels in Working Dogs: A Comparative Study of Data Collection Devices and Frequencies