Available Projects (2026)

Comparing model-based reinforcement learning and model predictive control for multi-vehicle racingRead more

"Diplomacy" using reinforcement learningRead more
Co-supervisor: Herman Kamper

Gaussian belief space planning using probabilistic graphical modelsRead more
Co-supervisor: Corné van Daalen

The degenerate Kalman filterRead more

Current Students

Francois Bredell (PhD)
Co-supervisor: Herman Engelbrecht
Learning to play Hanabi using multi-agent reinforcement learning

Chris Flood (MEng)
Main supervisor: Herman Engelbrecht
Developing and testing a full-stack system for F1tenth autonomous racing

Nico Martin (MEng)
Main supervisor: Lijun Zhang
Safe reinforcement learning for autonomous racing

Past Students
2024

Emile Visser (PhD)
Co-supervisor: Corné van Daalen
Improving the accuracy of Bayesian optimisation using an adaptive approach

Devin Jefferies (MEng)
Co-supervisor: Benjamin Evans
Autonomous F1tenth racing on an unknown track

Stephano Buys (MEng)
Co-supervisor: Japie Engelbrecht
Cooperative planning for autonomous search and rescue

2023

Andrew Murdoch (MEng)
Co-supervisor: Willem Jordaan
Partial End-to-End Reinforcement Learning for Autonomous RacingView thesis

Ulrich Louw (MEng)
Main supervisor: Willem Jordaan
Autonomous Diagnosis of Satellite Sensor Anomalies to Ensure Fault Tolerant ControlView thesis

Welri Botes (MEng)
Main supervisor: Japie Engelbrecht
Grid-Based Coverage Path Planning for Multiple UAVs in Search and Rescue ApplicationsView thesis

2021

Cobus Louw (MEng)
Main supervisor: Herman Engelbrecht
Solving Sparse-reward Problems in Partially Observable 3D Environments using Distributed Reinforcement LearningView thesis