Propose Your Own: RL Applications or Algorithmic Improvements

This slot is intentionally open. If you have prior hands-on experience with reinforcement learning and an idea you’d like to pursue, whether a novel application domain for RL, or an improvement to an underlying RL algorithm, get in touch to discuss it as a potential project. Prior RL experience is mandatory for this project. This … Read more

[TAKEN] Intersectional Fairness in Machine Learning

This project focuses on the rich field of algorithmic fairness where the goal is to ensure that predictions are not biased against subgroups of the population whilst maximising predictive performance. One challenge is when we focus on multiple protected attributes.