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

Sarah Kawaguchi

Image compression using convolutional networks

Liam Barnes

Coriolis Force acting on Magnetic Active Regions on the Sun Project

Yixin Kang

Onset of turbulence in channel flow

Stephen Dang

Comparison of Regression-Adjusted ABC and Neural Methods for Simulation-Based Inference