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
Mikaela Westlake
Capturing the impact of patient variability in a novel cancer treatment using Bayesian inference
