Robotics and Reinforcement Learning

Hyperspectral Image Classification

Computer Vision and Machine Learning

Reinforcement Learning for Anticipatory cobots in an industrial setting

Hierarchical and inverse reinforcement learning

MSc candidate at the University of the Witwatersrand

Curriculum Learning in Reinforcement Learning

Optimization in Artificial Neural Networks

MSc student at the University of Witwatersrand

Machine learning, Theoretical / Computational Neuroscience, Healthcare

Model-based deep reinforcement learning

Multi-Task Reinforcement Learning and Robotic Prosthetics

Deep Learning, Objective Bayes

Manifold learning and Constraints

Learning general representations in non-Euclidean deep learning.

Interested in Hierarchical reinforcement learning and Inverse reinforcement learning

Representation learning

Computer Vision

Reinforcement Learning

Generative adversarial networks

Computer Vision and Spatial Data Analysis

Computer vision using satellite data for invasive species management

Reinforcement Learning in Human-Robot Collaboration

Theory of Deep Learning, Neural Architecture Search , AutoML