Refereed Publications
Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies
Advances in Neural Information Processing Systems
Synthesizing Navigation Abstractions for Planning with Portable Manipulation Skills
Conference on Robot Learning
Overlooked Implications of the Reconstruction Loss for VAE Disentanglement
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence
Augmentative Topology Agents for Open-ended Learning
The Genetic and Evolutionary Computation Conference Companion
Automatic Encoding and Repair of Reactive High-Level Tasks with Learned Abstract Representations
The International Journal of Robotics Research
Hierarchically Composing Level Generators for the Creation of Complex Structures
IEEE Transactions on Games
Procedural Content Generation using Neuroevolution and Novelty Search for Diverse Video Game Levels
The Genetic and Evolutionary Computation Conference
Autonomous Learning of Object-Centric Abstractions for High-Level Planning
International Conference on Learning Representations
Generalisation in Lifelong Reinforcement Learning through Logical Composition
International Conference on Learning Representations
Investigating Transfer Learning in Graph Neural Networks
Electronics
A Boolean Task Algebra for Reinforcement Learning
Advances in Neural Information Processing Systems
Learning Portable Representations for High-Level Planning
Proceedings of the Thirty-seventh International Conference on Machine Learning
If dropout limits trainable depth, does critical initialisation still matter? A large-scale statistical analysis on ReLU networks
Pattern Recognition Letters, Elsevier
Composing Value Functions in Reinforcement Learning
Proceedings of the Thirty-sixth International Conference on Machine Learning
An Analysis of Monte Carlo Tree Search
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence
Local Publications (Refereed)
Combining Evolutionary Search with Behaviour Cloning for Procedurally Generated Content
Proceedings of 43rd Conference of the South African Institute of Computer Scientists and Information Technologists
Quantisation and Pruning for Neural Network Compression and Regularisation
Proceedings of the 2020 SAUPEC/RobMech/PRASA Conference
Learning Options from Demonstration using Skill Segmentation
Proceedings of the 2020 SAUPEC/RobMech/PRASA Conference
Inter- and Intra-domain Knowledge Transfer for Related Tasks in Deep Character Recognition
Proceedings of the 2020 SAUPEC/RobMech/PRASA Conference
Workshops, Symposia & Tech Reports
Counting Reward Automata: Sample Efficient Reinforcement Learning Through The Exploitation of Reward Function Structure
Workshop on Neuro-Symbolic Learning and Reasoning in the Era of Large Language Models at AAAI
End-to-End Learning to Follow Language Instructions with Compositional Policies
Workshop on Language and Robotics at CoRL
Facilitating Safe Sim-to-Real through Simulator Abstraction and Zero-shot Task Composition
Lifelong Learning of High-level Cognitive and Reasoning Skills Workshop @ IROS
World Value Functions: Knowledge Representation for Learning and Planning
Bridging the Gap Between AI Planning and Reinforcement Learning Workshop at ICAPS
World Value Functions: Knowledge Representation for Multitask Reinforcement Learning
The Multi-disciplinary Conference on Reinforcement Learning and Decision Making
Adaptive Online Value Function Approximation with Wavelets
The Multi-disciplinary Conference on Reinforcement Learning and Decision Making
Learning Abstract and Transferable Representations for Planning
The Multi-disciplinary Conference on Reinforcement Learning and Decision Making
Accounting for the Sequential Nature of States to Learn Representations in Reinforcement Learning
The Multi-disciplinary Conference on Reinforcement Learning and Decision Making
Towards Objective Metrics for Procedurally Generated Video Game Levels
arXiv preprint arXiv:2201.10334
Generalisation in Lifelong Reinforcement Learning through Logical Composition
NeurIPS Deep Reinforcement Learning Workshop
Learning to Follow Language Instructions with Compositional Policies
AAAI Fall Symposium on AI for Human-Robot Interaction
Learning Object-Centric Representations for High-Level Planning in Minecraft
Object-Oriented Learning (OOL): Perception, Representation, and Reasoning. Workshop at ICML.
Logical Composition for Lifelong Reinforcement Learning
4th Lifelong Learning Workshop at ICML 2020
A Boolean Task Algebra for Reinforcement Learning
Beyond "Tabula Rasa" in Reinforcement Learning (BeTR-RL): Agents that remember, adapt, and generalize. Workshop at ICLR.
Multi-Pass Q-Networks for Deep Reinforcement Learning with Parameterised Action Spaces
arXiv preprint arXiv:1905.04388
Learning to Plan with Portable Symbols
ICML/IJCAI/AAMAS 2018 Workshop on Planning and Learning
Will it Blend? Composing Value Functions in Reinforcement Learning
The 2nd Lifelong Learning: A Reinforcement Learning Approach (LLARLA) Workshop, FAIM 2018.
Learning Portable Symbolic Representations
2018 IJCAI Doctoral Consortium (extended abstract)
An Investigation into the Effectiveness of Heavy Rollouts in UCT
General Intelligence in Game-Playing Agents (GIGA’16) Workshop at IJCAI
The Effect of Simulation Bias on Action Selection in Monte Carlo Tree Search
University of the Witwatersrand (MSc thesis)