Projects

• Glotty October 2026

  A messaging app for learning Spanish, where each message is shown as a mix of English and Spanish depending on the reader’s progress.

• Football RL July 2026

  A five-a-side football simulation where each team shares one policy network, trained with multi-agent PPO.

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  AI Daytrading December 2024

  An experiment into using neural networks to day trade.

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  Putting Predictor April 2024

  A putting simulator designed to quickly calculate the perfect trajectory.

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  Slidefive October 2023

  A daily word puzzle game about sliding blocks of letters.

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  Mars Rovers March 2021

  Evolutionary learning for car obstacle avoidance given limited information.

Other projects

• Fighting AIs2022
  Fighting AIs October 2022 ×

  Teaching reinforcement learning agents to fight, in a vaguely MMA style.

  The agents are given inputs based on their environment; the positions, velocities and accelerations of all of their and their opponent’s limbs. The goal is to hit the opponent hard, and not get hit themselves, with greater weightings to hits involving the head. Interestingly, they seem to favour a clinch-style position.

  I wrote the entire reinforcement learning architecture completely from the ground up, in C#. Each “agent” has roughly 10k trainable parameters in a dense network structure. I would love to try this project again, but with a proper ML library like PyTorch or Tensorflow. It would also be interesting to give the agents “eyes” and use a convolutional network to process the vision as part of it, which could be affected by taking damage from the opponent.

• Slime Mould Simulation2023
  Slime Mould Simulation May 2023 ×

  A GPU-based simulation on the growth of slime mould with spore exploration. It also has support for object interaction, so can be placed in a maze - although they are not very good at solving them.

  100,000 spores are initialised in a circle, which move with a nearby messaging system; cells are formed as surface area is minimised but overall spread is favourably wide. In real organisms, this means that a large area can be searched for food with a minimal amount of matter.

  Inspired by Sebastian Lague’s excellent video.

• Beat The Tube2020
  Beat The Tube March 2020 ×

  A 2D game about building and driving a car across rough terrain to beat a tube train, which races between platforms beneath you.

  The user is given the choice of several different chassis, engines and tyres, which all have unique characteristics - a more powerful engine has higher top speeds, but is heavy and may be impossible to control on a lightweight body. There are 210 possible combinations.

  Beat The Tube was nominated for BAFTA’s Young Game Designer award in 2020.