Comparing model-based reinforcement learning and model predictive control for multi-vehicle racing – Read more
"Diplomacy" using reinforcement learning – Read more
Co-supervisor: Herman Kamper
Gaussian belief space planning using probabilistic graphical models – Read more
Co-supervisor: Corné van Daalen
The degenerate Kalman filter – Read more
Francois Bredell (PhD)
Co-supervisor: Herman Engelbrecht
Augmenting the action space with conventions to improve multi-agent cooperation in Hanabi
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
Emile Visser (PhD)
Co-supervisor: Corné van Daalen
LABCAT: Locally adaptive Bayesian optimization using
principal-component-aligned trust regions
Devin Jefferies (MEng)
Co-supervisor: Benjamin Evans
Autonomous racing on unseen tracks
using reinforcement learning
Stephano Buys (MEng)
Co-supervisor: Japie Engelbrecht
Cooperative search and rescue using a scheduling algorithm
Andrew Murdoch (MEng)
Co-supervisor: Willem Jordaan
Partial end-to-end reinforcement learning for
robustness towards model-mismatch in 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
Cobus Louw (MEng)
Main supervisor: Herman Engelbrecht
Solving Sparse-reward Problems in Partially Observable 3D Environments using Distributed Reinforcement Learning – View thesis