Available Projects (2025)
The degenerate Kalman filter – Read more
Gaussian belief space planning using probabilistic graphical models – Read more
Co-supervisor: Corné van Daalen
"Diplomacy" using reinforcement learning – Read more
Co-supervisor: Herman Kamper
Using reinforcement learning to improve human learning in arcade games – Read more
Main supervisor: Herman Kamper
A model-based reinforcement learning framework for autonomous
driving – Read more
Low-resource urban driving in the CARLA simulator – Read more
Obstacle detection, classification and avoidance for F1tenth autonomous racing – Read more
Co-supervisor: Japie Engelbrecht
Current Students
Emile Visser (PhD)
Co-supervisor: Corné van Daalen
Improving the accuracy of Bayesian optimisation using an adaptive approach
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
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
Past Students
2023
Andrew Murdoch (MEng)
Co-supervisor: Willem Jordaan
Partial End-to-End Reinforcement Learning for Autonomous Racing – View thesis
Ulrich Louw (MEng)
Main supervisor: Willem Jordaan
Autonomous Diagnosis of Satellite Sensor Anomalies to Ensure Fault Tolerant Control – View thesis
Welri Botes (MEng)
Main supervisor: Japie Engelbrecht
Grid-Based Coverage Path Planning for Multiple UAVs in Search and Rescue Applications – View thesis
2021
Cobus Louw (MEng)
Main supervisor: Herman Engelbrecht
Solving Sparse-reward Problems in Partially Observable 3D Environments using Distributed Reinforcement Learning – View thesis