Publications


Generalisable Agents for Neural Network Optimisation. Workshop on Advancing Neural Network Training: Computational Efficiency, Scalability, and Resource Optimization at NeurIPS, 2023.
Hierarchical WaveFunction Collapse. In AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2023.
Creating Diverse Play-Style-Centric Agents through Behavioural Cloning. In AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2023.
Overlooked Implications of the Reconstruction Loss for VAE Disentanglement. Proceedings of the Thirty-second International Joint Conference on Artificial Intelligence, 2023.
The Challenge of Redundancy on Multi-agent Value Factorisation. International Conference on Autonomous Agents and Multiagent Systems, 2023.
On The Specialization of Neural Modules. In Proceedings of the Eleventh International Conference on Learning Representations, 2023.
Reinforcement Learning in Education: A Multi-Armed Bandit Approach. 5th EAI International Conference on Emerging Technologies for Developing Countries, 2022.
Real Time In-Game Playstyle Classification Using A Hybrid Probabilistic Supervised Learning Approach. In Proceedings of the Third Southern African Conference for AI Research. Part of the book series: Communications in Computer and Information Science, Springer, 2022.
Skill Machines: Temporal Logic Composition in Reinforcement Learning. In Lifelong Learning of High-level Cognitive and Reasoning Skills Workshop @ IROS 2022, 2022.
Augmentative Topology Agents For Open-ended Learning. In Lifelong Learning of High-level Cognitive and Reasoning Skills Workshop @ IROS 2022, 2022.
Reducing the Planning Horizon through Reinforcement Learning. In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022.
Combining Evolutionary Search with Behaviour Cloning for Procedurally Generated Content. In Proceedings of 43rd Conference of the South African Institute of Computer Scientists and Information Technologists, 2022.
Analyzing Reinforcement Learning Algorithms for Nitrogen Fertilizer Management in Simulated Crop Growth. In Proceedings of 43rd Conference of the South African Institute of Computer Scientists and Information Technologists, 2022.
World Value Functions: Knowledge Representation for Learning and Planning. Bridging the Gap Between AI Planning and Reinforcement Learning Workshop at ICAPS, 2022.
World Value Functions: Knowledge Representation for Multitask Reinforcement Learning. The 5th Multi-disciplinary Conference on Reinforcement Learning and Decision Making, 2022.
Learning Abstract and Transferable Representations for Planning. The 5th Multi-disciplinary Conference on Reinforcement Learning and Decision Making, 2022.
Harnessing the Wisdom of an Unreliable Crowd for Autonomous Decision Making. The 5th Multi-disciplinary Conference on Reinforcement Learning and Decision Making, 2022.
Diverse Partner Creation with Partner Prediction for Robust K-Level Reasoning. The 5th Multi-disciplinary Conference on Reinforcement Learning and Decision Making, 2022.
Adaptive Online Value Function Approximation with Wavelets. The 5th Multi-disciplinary Conference on Reinforcement Learning and Decision Making, 2022.
Generalisation in Lifelong Reinforcement Learning through Logical Composition. In Proceedings of the Tenth International Conference on Learning Representations, 2022.
Autonomous Learning of Object-Centric Abstractions for High-Level Planning. In Proceedings of the Tenth International Conference on Learning Representations, 2022.
Improving Pose Estimation through Contextual Activity Fusion. Southern African Conference for Artificial Intelligence Research, 2021.
Should I Trust You? Incorporating Unreliable Expert Advice in Human-Agent Interaction. Workshop on Human-aligned Reinforcement Learning for Autonomous Agents and Robots at ICDL, 2021.
Model Predictive-Actor Critic Reinforcement Learning for Dexterous Manipulation. International Conference on Computer, Control, Electrical, and Electronics Engineering, 2021.
Deep Reinforcement Learning for Robotic Hand Manipulation. International Conference on Computer, Control, Electrical, and Electronics Engineering, 2021.
Knowledge Transfer using Model-Based Deep Reinforcement Learning. In Proceedings of the IEEE SAUPEC/ROBMECH/PRASA International Conference, 2021.
Learning Object-Centric Representations for High-Level Planning in Minecraft. Object-Oriented Learning: Perception, Representation, and Reasoning. Workshop at ICML, 2020.
A Boolean Task Algebra for Reinforcement Learning. Beyond Tabula Rasa in Reinforcement Learning (Workshop at ICLR), 2020.
Understanding Structure of Concurrent Actions. International Conference on Innovative Techniques and Applications of Artificial Intelligence, 2019.
An Overview of Robot Vision. SAUPEC/ROBMECH/PRASA International Conference, 2019.
Will it Blend? Composing Value Functions in Reinforcement Learning. The 2nd Lifelong Learning: A Reinforcement Learning Approach (LLARLA) Workshop @ FAIM, 2018.
Learning to Plan with Portable Symbols. ICML/IJCAI/AAMAS 2018 Workshop on Planning and Learning, 2018.
Hierarchical Subtask Discovery with Non-negative Matrix Factorization. Proceedings of the Sixth International Conference on Learning Representations, 2018.
Learning the Influence Structure between Partially Observed Stochastic Processes using IoT Sensor Data. SmartIoT: AI Enhanced IoT Data Processing for Intelligent Applications at AAAI-18, 2018.
Belief Reward Shaping in Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence, 2018.
Fingerprint Minutiae Extraction using Deep Learning. International Joint Conference on Biometrics, 2017.
Hierarchical Subtask Discovery with Non-negative Matrix Factorization. Workshop on Lifelong Learning: A Reinforcement Learning Approach at ICML, 2017.
An Analysis of Monte Carlo Tree Search. Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017.
Predicting High-speed Performance of a B-Double. Fourteenth International Symposium on Heavy Vehicle Transport Technology, 2016.
An Investigation into the Effectiveness of Heavy Rollouts in UCT. General Intelligence in Game-Playing Agents Workshop at IJCAI, 2016.
Reinforcement Learning with Parameterized Actions. Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016.
Enhancing Agent Safety through Autonomous Environment Adaptation. Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2015.
Action Priors for Learning Domain Invariances. IEEE Transactions on Autonomous Mental Development, 2015.
Context-based Online Policy Instantiation for Multiple Tasks and Changing Environments. Proceedings of the 2014 PRASA, RobMech and AfLaT International Joint Symposium, 2014.
Behavioural Domain Knowledge Transfer for Autonomous Agents. AAAI Fall Symposium on Knowledge, Skill, and Behavior Transfer in Autonomous Robots, 2014.
Feature Selection for Domain Knowledge Representation through Multitask Learning. IEEE International Conference on Development and Learning and on Epigenetic Robotics, 2014.
Modelling Primate Control of Grasping for Robotics Applications. Second Workshop on Affordances: Visual Perception of Affordances and Functional Visual Primitives for Scene Analysis, 2014.
Giving Advice to Agents with Hidden Goals. IEEE International Conference on Robotics and Automation, 2014.
What Good are Actions? Accelerating Learning using Learned Action Priors. IEEE International Conference on Development and Learning and on Epigenetic Robotics, 2012.
A Multitask Representation using Reusable Local Policy Templates. AAAI Spring Symposium Series on Designing Intelligent Robots: Reintegrating AI, 2012.