Tslil worked for his Honours and Masters on both category theory and Information Geometry.

St John is interested in areas related to general intelligence and emerging technologies. His honours work focused on model-based and causal reinforcement learning. His masters research is directed towards multi-agent reinforcement learning from the perspective of causally reasoning agents.

Siphelele did an investigation into the balance between exploration and exploitation for his third year project. His honours research was on scaling and the structure of neural networks, which was an investigation into possible connections between deep learning and the...

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Ruan learnt about reinforcement learning during his honours year. He was introduced to multi-agent RL during his research for a project and was instantly captivated by the subfield. He is interested in studying multi-agent RL and its wide range of...

Roland's honours work explores the relationship between active inference and reinforcement learning. He's researching how deep reinforcement learning can aid in the scaling of active inference agents. In the context of the exploration-exploitation dilemma, he's also researching the mathematical origins...

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I am an Applied Mathematics Honours student at UCT with a strong background in Computer Science. My current project aims to analyse and extend the Quantum Approximate Optimisation Algorithm to other use cases. My primary focus is on Quantum Computing,...

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Lizelle is interested in computational psychiatry and the ways machine learning and Bayesian inference might help us understand and treat mental illness better. Her masters is on the use of reinforcement learning to model decision-making in mental illness. She also...

Joseph completed his honours in mathematical statistics at the University of Cape Town in 2021, where he studied Reinforcement Learning and its intersection with Transfer Learning. In addition, Joseph’s honours thesis focussed on liveness detection in face biometric authentication.

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Connect LinkedIn Jeremy Wilkinson Jeremy did his Honours in Physics at the University of Cape Town and came first in his class. He then went on to do his Masters in Physics at the University of Cambridge. On the Application...

Jeremy’s research interests lie in the area of machine learning in general, and reinforcement learning (RL) in particular, especially as a framework for better understanding human reasoning and behaviour.

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Emma's research focuses on fast radio bursts (FRBs) -- astrophysical transients -- and using various analysis techniques to explore the origin of the bursts, as well as the Universe around them. In her recent work, she applied kernel density estimation...

My general interests are in reinforcement learning and natural language processing. Specifically, my interests lie in the application of artificial intelligence in game domains. My honours project focused on the application of policy-gradient reinforcement learning methods in text-based environments.

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During his honours, Dean learnt about information theory and its application to theoretical models of synaptic plasticity. During his masters, he learnt about spiking neural networks with spike-time-dependent synaptic plasticity and evolutionary algorithms. Since then he moved to Lisbon to...

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Daniel's research has focused on explainable AI (XAI) methods using saliency mapping, with practical applications in Brain Age Regression. His MSc dissertation was an expansion of his honours project, creating saliency maps for brain age predictions. He has also spent...

Claude studied deep reinforcement learning and graph neural networks in his honours year and is now working on multi-agent RL.

Bram wishes he could understand complex systems such as artificial and biological neural networks. This lead to a project that reviewed interpretable reinforcement learning methods during his Honour's year, and now to Master's that uses ideas from the renormalisation group...