Researcher at DAI-Labor / PhD Candidate at TU Berlin
Programmer, Engineer and Computer Scientist
Electrical Engineer | Data scientist at Explore-AI | Intelligent systems for Healthcare
A.I. in Games
Transferable abstractions for reinforcement learning
Interested in Transfer in Reinforcement Learning
RL - complex and concurrent actions
Reinforcement Learning
Mult-Agent Reinforcement Learning
Computer vision using satellite data for invasive species management
Radical personalization in multiple industry domains
Context-aware recommendation systems
PhD candidate at the University of the Witwatersrand.
R&D Engineer of the Council for Scientific and Industrial Research (CSIR).
Robotics and Reinforcement Learning
Hyperspectral Image Classification
Automatic image reconstruction
Computer Vision and Machine Learning
Reinforcement Learning for Anticipatory cobots in an industrial setting
Hierarchical reinforcement learning and transfer learning
MSc candidate at the University of the Witwatersrand
Curriculum Learning in Reinforcement Learning
Optimization in Artificial Neural Networks
Machine learning, Theoretical / Computational Neuroscience, Healthcare
Model-based deep reinforcement learning
Deep Learning, Objective Bayes
Collaborative Companion Agents
Manifold learning and Constraints
Learning general representations in non-Euclidean deep learning.
PGMs for decision-making in healthcare
Interested in Hierarchical reinforcement learning and Inverse reinforcement learning
Representation learning
Computer Vision
Generative adversarial networks
Computer Vision and Spatial Data Analysis
Multi-agent reinforcement learning
Reinforcement Learning in Human-Robot Collaboration
Theory of Deep Learning, Neural Architecture Search , AutoML
