olibridge01 / nonlineardissipativesystems

Quantum reaction rates in nonlinear dissipative systems with Python and NumPy

Hi there! 👋

My name is Oli Bridge. I'm a Master's student at UCL Computer Science studying machine learning. I previously graduated with a BA/MSci from the University of Cambridge, where I researched path integral quantum dynamics in my final year at the Yusuf Hamied Department of Chemistry.

• 🌱 My research interests broadly include reinforcement learning and probabilistic machine learning
• 🔭 I am currently working in the Machine Intelligence Lab at UCL, researching symmetries in graph reinforcement learning
• 📫 Reach me at: [email protected]
• 👨🏻‍🎓 My Google Scholar

Featured Projects 💻

DeepRL

DeepRL is an implementation of various model-free deep reinforcement learning algorithms built with PyTorch. The project utilises OpenAI's gymnasium environments to train the algorithms, as well as produced rendered outputs to visualise the agent's performance.

MaskedImageModelling

MaskedImageModelling is a PyTorch implementation of a self-supervised learning framework to pre-train a model for an image segmentation task. A VisionTransformer is pre-trained by learning to reconstruct partially masked images, and fine-tuned on the Oxford-IIIT Pets dataset for segmentation.