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

Louisa Best

Phonetic Spelling Correction Using Vector Space Models and Dimensionality Reduction

Carmen Isabel Martinez Harris

Recovering Parameters of Truncated Multivariate Gaussian Distributions via Numerical Optimisation

Minh Thu Nguyen

Modelling Impact Resistant Materials for use in Protective Gear

Enxi Lin

Spectra of Toeplitz operators on Hardy-Hilbert Spaces