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Group Members


Research Associates

PhD Candidates

Jonathan Gerrand

Electrical Engineer | Data scientist at Explore-AI | Intelligent systems for Healthcare

Steve James

Transferable abstractions for reinforcement learning

Ofir Marom

Interested in Transfer in Reinforcement Learning

Geethen Singh

Computer vision using satellite data for invasive species management

Beatrice van Eden

PhD candidate at the University of the Witwatersrand. R&D Engineer of the Council for Scientific and Industrial Research (CSIR).

MSc Candidates

Aneesh Chandran

Reinforcement Learning for Anticipatory cobots in an industrial setting

Leroy Dunn

Curriculum Learning in Reinforcement Learning

Roy Eyono

Optimization in Artificial Neural Networks

Chris Fourie

Machine learning, Theoretical / Computational Neuroscience, Healthcare

Shahil Mawjee

Interested in Hierarchical reinforcement learning and Inverse reinforcement learning

Honours Students

Cassi-Lee Gewer

Computational Neuroscience, Machine Learning and Generative Adversarial Networks


PhD Students

MSc Students

  • Tlou Bokola (2020) - Knowledge Transfer Using Model-based Deep Reinforcement Learning
  • Yongama Feni (2020) - Evaluating the Reliability of Quantification Results
  • Isaac Tarume (2020) - Study of Anomaly Detection in Diverse Populations using Probabilistic Graphical Models
  • Craig Bester (2019) - Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces
  • Menzi Mthwecu (2019) - Efficient Search and Tracking for Non-Stationary Targets
  • Benjamin van Niekerk (2019) - Learning Safe Predictive Control with Gaussian Processes
  • Sicelukwanda Zwane (2019) - Using Mixture Density Networks to Model Continuous Action Priors
  • Richard Fisher (2018) - Topology-inspired Probabilistic Path Replanning in Dynamic Environments
  • Jason Perlow (2018) - Raw Material Selection for Object Construction
  • Ntokozo Mabena (2017) - Accelerating Decision Making Under Partial Observability Using Learned Action Priors
  • Michihisa Hiratsuka (2016) - Incremental Learning of Smoothed Dynamic Motion Primitives from Demonstration
  • Steve James (2016) - The Effect of Simulation Bias on Action Selection in Monte Carlo Tree Search
  • Phumlani Khoza (2016) - Electroencephalography brain computer interface using an asynchronous protocol
  • Jeremy Lai Hong (2016) - Adaptive Knowledge Injection for Monte Carlo Tree Search for Imperfect Information Games