Samuel Oliveira

Hi! I’m Samuel. I am a Ph.D. student at the RLAI Lab, supervised by Rupam Mahmood and affiliated with Amii.

My goal is to create decision-making systems that can learn continually as they interact with the world. To this end, my research focuses on: (1) studying the causes of forgetting and plasticity loss in neural networks; (2) developing new architectures and optimizers for continual learning; and (3) studying how to create continual learning agents that can actively manage their knowledge under resource constraints.

Previously, I did my Master’s in Machine Learning at University College London, where I worked on Inverse Reinforcement Learning approaches with diffusion models; and I completed my undergraduate degree at Imperial College London, where I applied streaming probabilistic algorithms (Sequential Monte-Carlo) to eczema prediction.

Outside of research, you can most likely find me at the tennis court, or swimming.