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

Joseph Kwong

SO(n)-invariant Einstein metrics

Chih Yuan (Yuan) Chan

Investigation of the switching threshold in the Switching Observer Model for human perceptual estimation

LI FU ZHANG

Advancing structural phylogenetics approach

Aaron Alonso Garcia

A model-based approach for estimating Group A Streptococcus transmission pathway parameters from transmission networks inferred from Whole Genome Sequence data.