Language performance at high school and success in first year computer science. - Sarah Rauchas; Benjamin Rosman; George Dimitri Konidaris; Ian D. Sanders (SIGCSE, 2006)

A game-theoretic procedure for learning hierarchically structured strategies. - Benjamin Rosman; Subramanian Ramamoorthy (ICRA, 2010)

Learning spatial relationships between objects. - Benjamin Rosman; Subramanian Ramamoorthy (Int. J. Robotics Res., 2011)

A Multitask Representation Using Reusable Local Policy Templates. - Benjamin Saul Rosman; Subramanian Ramamoorthy (AAAI Spring Symposium: Designing Intelligent Robots, 2012)

What good are actions? Accelerating learning using learned action priors. - Benjamin Rosman; Subramanian Ramamoorthy (ICDL-EPIROB, 2012)

Clustering Markov Decision Processes For Continual Transfer. - M. M. Hassan Mahmud; Majd Hawasly; Benjamin Rosman; Subramanian Ramamoorthy (CoRR, 2013)

Behavioural Domain Knowledge Transfer for Autonomous Agents. - Benjamin Saul Rosman (AAAI Fall Symposia, 2014)

Modelling Primate Control of Grasping for Robotics Applications. - Ashley Kleinhans; Serge Thill; Benjamin Rosman; Renaud Detry; Bryan P. Tripp (ECCV Workshops (2), 2014)

Feature selection for domain knowledge representation through multitask learning. - Benjamin Rosman (ICDL-EPIROB, 2014)

Giving advice to agents with hidden goals. - Benjamin Rosman; Subramanian Ramamoorthy (ICRA, 2014)

On user behaviour adaptation under interface change. - Benjamin Rosman; Subramanian Ramamoorthy; M. M. Hassan Mahmud; Pushmeet Kohli (IUI, 2014)

Knowledge transfer for learning robot models via Local Procrustes Analysis. - Ndivhuwo Makondo; Benjamin Rosman; Osamu Hasegawa (Humanoids, 2015)

Enhancing agent safety through autonomous environment adaptation. - Benjamin Rosman; Bradley Hayes; Brian Scassellati (ICDL-EPIROB, 2015)

Nonparametric Bayesian reward segmentation for skill discovery using inverse reinforcement learning. - Pravesh Ranchod; Benjamin Rosman; George Dimitri Konidaris (IROS, 2015)

Action Priors for Learning Domain Invariances. - Benjamin Rosman; Subramanian Ramamoorthy (IEEE Trans. Auton. Ment. Dev., 2015)

Identifying and Tracking Switching, Non-Stationary Opponents: A Bayesian Approach. - Pablo Hernandez-Leal; Matthew E. Taylor; Benjamin Rosman; Luis Enrique Sucar; Enrique Munoz de Cote (AAAI Workshop: Multiagent Interaction without Prior Coordination, 2016)

A Bayesian Approach for Learning and Tracking Switching, Non-Stationary Opponents: (Extended Abstract). - Pablo Hernandez-Leal; Benjamin Rosman; Matthew E. Taylor; Luis Enrique Sucar; Enrique Munoz de Cote (AAMAS, 2016)

Trajectory learning from human demonstrations via manifold mapping. - Michihisa Hiratsuka; Ndivhuwo Makondo; Benjamin Rosman; Osamu Hasegawa (IROS, 2016)

Hierarchy through Composition with Linearly Solvable Markov Decision Processes. - Andrew M. Saxe; Adam Christopher Earle; Benjamin Rosman (CoRR, 2016)

Bayesian policy reuse. - Benjamin Rosman; Majd Hawasly; Subramanian Ramamoorthy (Mach. Learn., 2016)

An Analysis of Monte Carlo Tree Search. - Steven James 001; George Dimitri Konidaris; Benjamin Rosman (AAAI, 2017)

Fingerprint minutiae extraction using deep learning. - Luke Nicholas Darlow; Benjamin Rosman (IJCB, 2017)

Hierarchy Through Composition with Multitask LMDPs. - Andrew M. Saxe; Adam Christopher Earle; Benjamin Rosman (ICML, 2017)

Online Constrained Model-based Reinforcement Learning. - Benjamin van Niekerk; Andreas C. Damianou; Benjamin Rosman (UAI, 2017)

Learning the Influence Structure between Partially Observed Stochastic Processes Using IoT Sensor Data. - Ritesh Ajoodha; Benjamin Rosman (AAAI Workshops, 2018)

Belief Reward Shaping in Reinforcement Learning. - Ofir Marom; Benjamin Rosman (AAAI, 2018)

Implementation of A Neural Natural Language Understanding Component for Arabic Dialogue Systems. - Abdallah M. Bashir; Abubakr Hassan; Benjamin Rosman; Daniel Duma; Mohanad Ahmed (ACLING, 2018)

Social Cobots: Anticipatory Decision-Making for Collaborative Robots Incorporating Unexpected Human Behaviors. - O. Can Görür; Benjamin Rosman; Fikret Sivrikaya; Sahin Albayrak (HRI, 2018)

Hierarchical Subtask Discovery with Non-Negative Matrix Factorization. - Adam Christopher Earle; Andrew M. Saxe; Benjamin Rosman (ICLR (Poster), 2018)

Accelerating Model Learning with Inter-Robot Knowledge Transfer. - Ndivhuwo Makondo; Benjamin Rosman; Osamu Hasegawa (ICRA, 2018)

Real-Time Motion Planning in Changing Environments Using Topology-Based Encoding of Past Knowledge. - Richard Fisher; Benjamin Rosman; Vladimir Ivan (IROS, 2018)

Zero-Shot Transfer with Deictic Object-Oriented Representation in Reinforcement Learning. - Ofir Marom; Benjamin Rosman (NeurIPS, 2018)

Reasoning about Unforeseen Possibilities During Policy Learning. - Craig Innes; Alex Lascarides; Stefano V. Albrecht; Subramanian Ramamoorthy; Benjamin Rosman (CoRR, 2018)

Will it Blend? Composing Value Functions in Reinforcement Learning. - Benjamin van Niekerk; Steven James 001; Adam Christopher Earle; Benjamin Rosman (CoRR, 2018)

A Non-Linear Manifold Alignment Approach to Robot Learning from Demonstrations. - Ndivhuwo Makondo; Michihisa Hiratsuka; Benjamin Rosman; Osamu Hasegawa (J. Robotics Mechatronics, 2018)

Anticipatory Bayesian Policy Selection for Online Adaptation of Collaborative Robots to Unknown Human Types. - O. Can Görür; Benjamin Rosman; Sahin Albayrak (AAMAS, 2019)

Composing Value Functions in Reinforcement Learning. - Benjamin van Niekerk; Steven James 001; Adam Christopher Earle; Benjamin Rosman (ICML, 2019)

Understanding Structure of Concurrent Actions. - Perusha Moodley; Benjamin Rosman; Xia Hong 001 (SGAI Conf., 2019)

Transfer Learning for Prosthetics Using Imitation Learning. - Montaser Mohammedalamen; Waleed D. Khamies; Benjamin Rosman (CoRR, 2019)

Estimation of Body Mass Index from Photographs using Deep Convolutional Neural Networks. - Adam Pantanowitz; Emmanuel Cohen; Philippe Gradidge; Nigel Crowther; Vered Aharonson; Benjamin Rosman; David M. Rubin (CoRR, 2019)

Symbol Emergence in Cognitive Developmental Systems: A Survey. - Tadahiro Taniguchi; Justus H. Piater; Florentin Wörgötter; Emre Ugur; Matej Hoffmann; Lorenzo Jamone; Takayuki Nagai; Benjamin Rosman; Toshihiko Matsuka; Naoto Iwahashi; Erhan Öztop (IEEE Trans. Cogn. Dev. Syst., 2019)

Utilising Uncertainty for Efficient Learning of Likely-Admissible Heuristics. - Ofir Marom; Benjamin Rosman (ICAPS, 2020)

Learning Portable Representations for High-Level Planning. - Steven James 001; Benjamin Rosman; George Konidaris 001 (ICML, 2020)

A Boolean Task Algebra for Reinforcement Learning. - Geraud Nangue Tasse; Steven James 001; Benjamin Rosman (NeurIPS, 2020)

If dropout limits trainable depth, does critical initialisation still matter? A large-scale statistical analysis on ReLU networks. - Arnu Pretorius; Elan Van Biljon; Benjamin van Niekerk; Ryan Eloff; Matthew Reynard; Steven James 001; Benjamin Rosman; Herman Kamper; Steve Kroon (Pattern Recognit. Lett., 2020)

A Remote Sensing Method to Monitor Water, Aquatic Vegetation, and Invasive Water Hyacinth at National Extents. - Geethen Singh; Chevonne Reynolds; Marcus Byrne; Benjamin Rosman (Remote. Sens., 2020)

Keep the Gradients Flowing: Using Gradient Flow to Study Sparse Network Optimization. - Kale-ab Abebe Tessera; Sara Hooker; Benjamin Rosman (CoRR, 2021)

Learning to Follow Language Instructions with Compositional Policies. - Vanya Cohen; Geraud Nangue Tasse; Nakul Gopalan; Steven James 001; Matthew C. Gombolay; Benjamin Rosman (CoRR, 2021)

Applying a principle of explicability to AI research in Africa: should we do it? - Mary Carman; Benjamin Rosman (Ethics Inf. Technol., 2021)

Fairness and accountability of AI in disaster risk management: Opportunities and challenges. - Caroline M. Gevaert; Mary Carman; Benjamin Rosman; Yola Georgiadou; Robert Soden (Patterns, 2021)

Reinforcement Learning in Education: A Multi-armed Bandit Approach. - Herkulaas MvE Combrink; Vukosi Marivate; Benjamin Rosman (AFRICATEK, 2022)

Play-style Identification through Deep Unsupervised Clustering of Trajectories. - Branden Ingram; Benjamin Rosman; Clint J. van Alten; Richard Klein (CoG, 2022)

Improved Action Prediction through Multiple Model Processing of Player Trajectories. - Branden Ingram; Benjamin Rosman; Clint J. van Alten; Richard Klein (CoG, 2022)

Autonomous Learning of Object-Centric Abstractions for High-Level Planning. - Steven James 001; Benjamin Rosman; George Konidaris 001 (ICLR, 2022)

Generalisation in Lifelong Reinforcement Learning through Logical Composition. - Geraud Nangue Tasse; Steven James 001; Benjamin Rosman (ICLR, 2022)

Reducing the Planning Horizon Through Reinforcement Learning. - Logan Dunbar; Benjamin Rosman; Anthony G. Cohn 001; Matteo Leonetti (ECML/PKDD (4), 2022)

Real Time In-Game Playstyle Classification Using a Hybrid Probabilistic Supervised Learning Approach. - Lindsay John Arendse; Branden Ingram; Benjamin Rosman (SACAIR, 2022)

Learning Abstract and Transferable Representations for Planning. - Steven James 001; Benjamin Rosman; George Dimitri Konidaris (CoRR, 2022)

World Value Functions: Knowledge Representation for Multitask Reinforcement Learning. - Geraud Nangue Tasse; Steven James 001; Benjamin Rosman (CoRR, 2022)

Skill Machines: Temporal Logic Composition in Reinforcement Learning. - Geraud Nangue Tasse; Devon Jarvis; Steven James 001; Benjamin Rosman (CoRR, 2022)

World Value Functions: Knowledge Representation for Learning and Planning. - Geraud Nangue Tasse; Benjamin Rosman; Steven James 001 (CoRR, 2022)

Comparing Synthetic Tabular Data Generation Between a Probabilistic Model and a Deep Learning Model for Education Use Cases. - Herkulaas MvE Combrink; Vukosi Marivate; Benjamin Rosman (CoRR, 2022)

A Framework for Undergraduate Data Collection Strategies for Student Support Recommendation Systems in Higher Education. - Herkulaas MvE Combrink; Vukosi Marivate; Benjamin Rosman (CoRR, 2022)

Hierarchical WaveFunction Collapse. - Michael Beukman; Branden Ingram; Ireton Liu; Benjamin Rosman (AIIDE, 2023)

Creating Diverse Play-Style-Centric Agents through Behavioural Cloning. - Branden Ingram; Clint J. van Alten; Richard Klein; Benjamin Rosman (AIIDE, 2023)

The Challenge of Redundancy on Multi-agent Value Factorisation. - Siddarth Shandeep Singh; Benjamin Rosman (AAMAS, 2023)

On The Specialization of Neural Modules. - Devon Jarvis; Richard Klein; Benjamin Rosman; Andrew M. Saxe (ICLR, 2023)

Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies. - Michael Beukman; Devon Jarvis; Richard Klein; Steven James 001; Benjamin Rosman (NeurIPS, 2023)

ROSARL: Reward-Only Safe Reinforcement Learning. - Geraud Nangue Tasse; Tamlin Love; Mark Nemecek; Steven James 001; Benjamin Rosman (CoRR, 2023)

Planning to Learn: A Novel Algorithm for Active Learning during Model-Based Planning. - Rowan Hodson; Bruce Bassett; Charel van Hoof; Benjamin Rosman; Mark Solms; Jonathan P. Shock; Ryan Smith (CoRR, 2023)

Generalisable Agents for Neural Network Optimisation. - Kale-ab Abebe Tessera; Callum Rhys Tilbury; Sasha Abramowitz; Ruan de Kock; Omayma Mahjoub; Benjamin Rosman; Sara Hooker; Arnu Pretorius (CoRR, 2023)

Counting Reward Automata: Sample Efficient Reinforcement Learning Through the Exploitation of Reward Function Structure. - Tristan Bester; Benjamin Rosman; Steven James 001; Geraud Nangue Tasse (CoRR, 2023)

FABRIC: A Framework for the Design and Evaluation of Collaborative Robots with Extended Human Adaptation. - O. Can Görür; Benjamin Rosman; Fikret Sivrikaya; Sahin Albayrak (ACM Trans. Hum. Robot Interact., 2023)

Who should I trust? Cautiously learning with unreliable experts. - Tamlin Love; Ritesh Ajoodha; Benjamin Rosman (Neural Comput. Appl., 2023)

Generating Interpretable Play-Style Descriptions Through Deep Unsupervised Clustering of Trajectories. - Branden Ingram; Clint J. van Alten; Richard Klein; Benjamin Rosman (IEEE Trans. Games, 2023)

The Zeno's Paradox of 'Low-Resource' Languages. - Hellina Hailu Nigatu; Atnafu Lambebo Tonja; Benjamin Rosman; Thamar Solorio; Monojit Choudhury (EMNLP, 2024)

Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning. - Geraud Nangue Tasse; Devon Jarvis; Steven James 001; Benjamin Rosman (ICLR, 2024)

Transferable dynamics models for efficient object-oriented reinforcement learning. - Ofir Marom; Benjamin Rosman (Artif. Intell., 2024)

Towards Financially Inclusive Credit Products Through Financial Time Series Clustering. - Tristan Bester; Benjamin Rosman (CoRR, 2024)

Multi-State-Action Tokenisation in Decision Transformers for Multi-Discrete Action Spaces. - Perusha Moodley; Pramod Kaushik; Dhillu Thambi; Mark Trovinger; Praveen Paruchuri; Xia Hong 001; Benjamin Rosman (CoRR, 2024)

RobocupGym: A challenging continuous control benchmark in Robocup. - Michael Beukman; Branden Ingram; Geraud Nangue Tasse; Benjamin Rosman; Pravesh Ranchod (CoRR, 2024)

InkubaLM: A small language model for low-resource African languages. - Atnafu Lambebo Tonja; Bonaventure F. P. Dossou; Jessica Ojo; Jenalea Rajab; Fadel Thior; Eric Peter Wairagala; Aremu Anuoluwapo; Pelonomi Moiloa; Jade Z. Abbott; Vukosi Marivate; Benjamin Rosman (CoRR, 2024)

Compositional Instruction Following with Language Models and Reinforcement Learning. - Vanya Cohen; Geraud Nangue Tasse; Nakul Gopalan; Steven James 001; Matthew C. Gombolay; Raymond Mooney; Benjamin Rosman (Trans. Mach. Learn. Res., 2024)

Hierarchically Composing Level Generators for the Creation of Complex Structures. - Michael Beukman; Manuel Fokam; Marcel Kruger; Guy Axelrod; Muhammad Umair Nasir; Branden Ingram; Benjamin Rosman; Steven James 001 (IEEE Trans. Games, 2024)

The Esethu Framework: Reimagining Sustainable Dataset Governance and Curation for Low-Resource Languages. - Jenalea Rajab; Anuoluwapo Aremu; Everlyn Asiko Chimoto; Dale Dunbar; Graham Morrissey; Fadel Thior; Luandrie Potgieter; Jessica Ojo; Atnafu Lambebo Tonja; Wilhelmina Ndapewa Onyothi Nekoto; Pelonomi Moiloa; Jade Z. Abbott; et al. (ACL (1), 2025)

Make Haste Slowly: A Theory of Emergent Structured Mixed Selectivity in Feature Learning ReLU Networks. - Devon Jarvis; Richard Klein; Benjamin Rosman; Andrew M. Saxe (ICLR, 2025)

Composition and Zero-Shot Transfer with Lattice Structures in Reinforcement Learning. - Geraud Nangue Tasse; Steven James 001; Benjamin Rosman (J. Artif. Intell. Res., 2025)

Source-Free Elastic Model Adaptation for Vision-and-Language Navigation. - Mingkui Tan; Peihao Chen; Hongyan Zhi; Jiajie Mai; Benjamin Rosman; Dongyu Ji; Runhao Zeng (IEEE Trans. Multim., 2025)

TrueReason: An Exemplar Personalised Learning System Integrating Reasoning with Foundational Models. - Sahan Bulathwela; Daniel van Niekerk; Jarrod Shipton; María Pérez-Ortiz 001; Benjamin Rosman; John Shawe-Taylor (CoRR, 2025)

The Esethu Framework: Reimagining Sustainable Dataset Governance and Curation for Low-Resource Languages. - Jenalea Rajab; Anuoluwapo Aremu; Everlyn Asiko Chimoto; Dale Dunbar; Graham Morrissey; Fadel Thior; Luandrie Potgieter; Jessico Ojo; Atnafu Lambebo Tonja; Maushami Chetty; Onyothi Nekoto; Pelonomi Moiloa; et al. (CoRR, 2025)

Revisiting the Role of Relearning in Semantic Dementia. - Devon Jarvis; Verena Klar; Richard Klein; Benjamin Rosman; Andrew M. Saxe (CoRR, 2025)

Strengthening Robotics and Automation in Africa: Highlights of ICRA@40-Africa [Education]. - Ndivhuwo Makondo; Paul Amayo; Jenalea Rajab; Lifhasi Ramulondi; Steven James 001; Alexandra Barry; Adam Mukuddem; Thabisa Maweni; Tamlin Love; Geraud Nangue Tasse; Zimkhitha Sijovu; Belinda Matebese; et al. (IEEE Robotics Autom. Mag., 2025)

Heartificial Intelligence: Exploring Empathy in Language Models. - Victoria Williams; Benjamin Rosman (CoRR, 2025)