Benjamin Rosman

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 82

Top Topics

Knowledge Representation

Reinforcement Learning

Behavioural Cloning

Nonparametric Bayesian

Top Venues

Publications

Michael Beukman, Branden Ingram, Geraud Nangue Tasse, Benjamin Rosman, Pravesh Ranchod
RobocupGym: A challenging continuous control benchmark in Robocup. CoRR (2024)
Michael Beukman, Manuel Fokam, Marcel Kruger, Guy Axelrod, Muhammad Umair Nasir, Branden Ingram, Benjamin Rosman, Steven James
Hierarchically Composing Level Generators for the Creation of Complex Structures. IEEE Trans. Games 16 (2) (2024)
Tristan Bester, Benjamin Rosman
Towards Financially Inclusive Credit Products Through Financial Time Series Clustering. CoRR (2024)
Perusha Moodley, Pramod Kaushik, Dhillu Thambi, Mark Trovinger, Praveen Paruchuri, Xia Hong, Benjamin Rosman
Multi-State-Action Tokenisation in Decision Transformers for Multi-Discrete Action Spaces. CoRR (2024)
Ofir Marom, Benjamin Rosman
Transferable dynamics models for efficient object-oriented reinforcement learning. Artif. Intell. 329 (2024)
Geraud Nangue Tasse, Devon Jarvis, Steven James, Benjamin Rosman
Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning. ICLR (2024)
Michael Beukman, Devon Jarvis, Richard Klein, Steven James, Benjamin Rosman
Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies. CoRR (2023)
Geraud Nangue Tasse, Tamlin Love, Mark Nemecek, Steven James, Benjamin Rosman
ROSARL: Reward-Only Safe Reinforcement Learning. CoRR (2023)
O. Can Görür, Benjamin Rosman, Fikret Sivrikaya, Sahin Albayrak
FABRIC: A Framework for the Design and Evaluation of Collaborative Robots with Extended Human Adaptation. ACM Trans. Hum. Robot Interact. 12 (3) (2023)
Siddarth Singh, Benjamin Rosman
The challenge of redundancy on multi-agent value factorisation. CoRR (2023)
Devon Jarvis, Richard Klein, Benjamin Rosman, Andrew M. Saxe
On The Specialization of Neural Modules. ICLR (2023)
Michael Beukman, Manuel Fokam, Marcel Kruger, Guy Axelrod, Muhammad Umair Nasir, Branden Ingram, Benjamin Rosman, Steven James
Hierarchically Composing Level Generators for the Creation of Complex Structures. CoRR (2023)
Michael Beukman, Devon Jarvis, Richard Klein, Steven James, Benjamin Rosman
Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies. NeurIPS (2023)
Tristan Bester, Benjamin Rosman, Steven James, Geraud Nangue Tasse
Counting Reward Automata: Sample Efficient Reinforcement Learning Through the Exploitation of Reward Function Structure. CoRR (2023)
Branden Ingram, Clint J. van Alten, Richard Klein, Benjamin Rosman
Generating Interpretable Play-Style Descriptions Through Deep Unsupervised Clustering of Trajectories. IEEE Trans. Games 15 (4) (2023)
Michael Beukman, Branden Ingram, Ireton Liu, Benjamin Rosman
Hierarchical WaveFunction Collapse. AIIDE (2023)
Tamlin Love, Ritesh Ajoodha, Benjamin Rosman
Who should I trust? Cautiously learning with unreliable experts. Neural Comput. Appl. 35 (23) (2023)
Rowan Hodson, Bruce Bassett, Charel van Hoof, Benjamin Rosman, Mark Solms, Jonathan P. Shock, Ryan Smith
Planning to Learn: A Novel Algorithm for Active Learning during Model-Based Planning. CoRR (2023)
Branden Ingram, Clint J. van Alten, Richard Klein, Benjamin Rosman
Creating Diverse Play-Style-Centric Agents through Behavioural Cloning. AIIDE (2023)
Kale-ab Tessera, Callum Rhys Tilbury, Sasha Abramowitz, Ruan de Kock, Omayma Mahjoub, Benjamin Rosman, Sara Hooker, Arnu Pretorius
Generalisable Agents for Neural Network Optimisation. CoRR (2023)
Siddarth Shandeep Singh, Benjamin Rosman
The Challenge of Redundancy on Multi-agent Value Factorisation. AAMAS (2023)
Herkulaas Combrink, Vukosi Marivate, Benjamin Rosman
Reinforcement Learning in Education: A Multi-Armed Bandit Approach. CoRR (2022)
Branden Ingram, Benjamin Rosman, Clint van Alten, Richard Klein
Improved Action Prediction through Multiple Model Processing of Player Trajectories. CoG (2022)
Herkulaas MvE Combrink, Vukosi Marivate, Benjamin Rosman
A Framework for Undergraduate Data Collection Strategies for Student Support Recommendation Systems in Higher Education. CoRR (2022)
Herkulaas MvE Combrink, Vukosi Marivate, Benjamin Rosman
Comparing Synthetic Tabular Data Generation Between a Probabilistic Model and a Deep Learning Model for Education Use Cases. CoRR (2022)
Logan Dunbar, Benjamin Rosman, Anthony G. Cohn, Matteo Leonetti
Reducing the Planning Horizon Through Reinforcement Learning. ECML/PKDD (4) (2022)
Geraud Nangue Tasse, Devon Jarvis, Steven James, Benjamin Rosman
Skill Machines: Temporal Logic Composition in Reinforcement Learning. CoRR (2022)
Geraud Nangue Tasse, Steven D. James, Benjamin Rosman
World Value Functions: Knowledge Representation for Multitask Reinforcement Learning. CoRR (2022)
Herkulaas MvE Combrink, Vukosi Marivate, Benjamin Rosman
Reinforcement Learning in Education: A Multi-armed Bandit Approach. AFRICATEK (2022)
Lindsay John Arendse, Branden Ingram, Benjamin Rosman
Real Time In-Game Playstyle Classification Using a Hybrid Probabilistic Supervised Learning Approach. SACAIR (2022)
Branden Ingram, Benjamin Rosman, Clint van Alten, Richard Klein
Play-style Identification through Deep Unsupervised Clustering of Trajectories. CoG (2022)
Geraud Nangue Tasse, Steven James, Benjamin Rosman
Generalisation in Lifelong Reinforcement Learning through Logical Composition. ICLR (2022)
Geraud Nangue Tasse, Benjamin Rosman, Steven James
World Value Functions: Knowledge Representation for Learning and Planning. CoRR (2022)
Steven D. James, Benjamin Rosman, George Dimitri Konidaris
Learning Abstract and Transferable Representations for Planning. CoRR (2022)
Steven James, Benjamin Rosman, George Konidaris
Autonomous Learning of Object-Centric Abstractions for High-Level Planning. ICLR (2022)
Vanya Cohen, Geraud Nangue Tasse, Nakul Gopalan, Steven D. James, Matthew C. Gombolay, Benjamin Rosman
Learning to Follow Language Instructions with Compositional Policies. CoRR (2021)
O. Can Görür, Benjamin Rosman, Fikret Sivrikaya, Sahin Albayrak
FABRIC: A Framework for the Design and Evaluation of Collaborative Robots with Extended Human Adaptation. CoRR (2021)
Caroline M. Gevaert, Mary Carman, Benjamin Rosman, Yola Georgiadou, Robert Soden
Fairness and accountability of AI in disaster risk management: Opportunities and challenges. Patterns 2 (11) (2021)
Mary Carman, Benjamin Rosman
Applying a principle of explicability to AI research in Africa: should we do it? Ethics Inf. Technol. 23 (2) (2021)
Kale-ab Tessera, Sara Hooker, Benjamin Rosman
Keep the Gradients Flowing: Using Gradient Flow to Study Sparse Network Optimization. CoRR (2021)
Geraud Nangue Tasse, Steven D. James, Benjamin Rosman
A Boolean Task Algebra for Reinforcement Learning. NeurIPS (2020)
Steven D. James, Benjamin Rosman, George Konidaris
Learning Portable Representations for High-Level Planning. ICML (2020)
Ofir Marom, Benjamin Rosman
Utilising Uncertainty for Efficient Learning of Likely-Admissible Heuristics. ICAPS (2020)
Geethen Singh, Chevonne Reynolds, Marcus Byrne, Benjamin Rosman
A Remote Sensing Method to Monitor Water, Aquatic Vegetation, and Invasive Water Hyacinth at National Extents. Remote. Sens. 12 (24) (2020)
Geraud Nangue Tasse, Steven D. James, Benjamin Rosman
A Boolean Task Algebra for Reinforcement Learning. CoRR (2020)
Arnu Pretorius, Elan Van Biljon, Benjamin van Niekerk, Ryan Eloff, Matthew Reynard, Steven D. James, Benjamin Rosman, Herman Kamper, Steve Kroon
If dropout limits trainable depth, does critical initialisation still matter? A large-scale statistical analysis on ReLU networks. Pattern Recognit. Lett. 138 (2020)
Benjamin van Niekerk, Andreas C. Damianou, Benjamin Rosman
Online Constrained Model-based Reinforcement Learning. CoRR (2020)
Montaser Mohammedalamen, Waleed D. Khamies, Benjamin Rosman
Transfer Learning for Prosthetics Using Imitation Learning. CoRR (2019)
Steven D. James, Benjamin Rosman, George Dimitri Konidaris
Learning Portable Representations for High-Level Planning. CoRR (2019)
Tadahiro Taniguchi, Justus H. Piater, Florentin Wörgötter, Emre Ugur, Matej Hoffmann, Lorenzo Jamone, Takayuki Nagai, Benjamin Rosman, Toshihiko Matsuka, Naoto Iwahashi, Erhan Öztop
Symbol Emergence in Cognitive Developmental Systems: A Survey. IEEE Trans. Cogn. Dev. Syst. 11 (4) (2019)
O. Can Görür, Benjamin Rosman, Sahin Albayrak
Anticipatory Bayesian Policy Selection for Online Adaptation of Collaborative Robots to Unknown Human Types. AAMAS (2019)
Benjamin van Niekerk, Steven D. James, Adam Christopher Earle, Benjamin Rosman
Composing Value Functions in Reinforcement Learning. ICML (2019)
Perusha Moodley, Benjamin Rosman, Xia Hong
Understanding Structure of Concurrent Actions. SGAI Conf. (2019)
Arnu Pretorius, Elan Van Biljon, Benjamin van Niekerk, Ryan Eloff, Matthew Reynard, Steven D. James, Benjamin Rosman, Herman Kamper, Steve Kroon
If dropout limits trainable depth, does critical initialisation still matter? A large-scale statistical analysis on ReLU networks. CoRR (2019)
Adam Pantanowitz, Emmanuel Cohen, Philippe Gradidge, Nigel Crowther, Vered Aharonson, Benjamin Rosman, David M. Rubin
Estimation of Body Mass Index from Photographs using Deep Convolutional Neural Networks. CoRR (2019)
Ofir Marom, Benjamin Rosman
Belief Reward Shaping in Reinforcement Learning. AAAI (2018)
Craig Innes, Alex Lascarides, Stefano V. Albrecht, Subramanian Ramamoorthy, Benjamin Rosman
Reasoning about Unforeseen Possibilities During Policy Learning. CoRR (2018)
Richard Fisher, Benjamin Rosman, Vladimir Ivan
Real-Time Motion Planning in Changing Environments Using Topology-Based Encoding of Past Knowledge. IROS (2018)
Ndivhuwo Makondo, Benjamin Rosman, Osamu Hasegawa
Accelerating Model Learning with Inter-Robot Knowledge Transfer. ICRA (2018)
O. Can Görür, Benjamin Rosman, Fikret Sivrikaya, Sahin Albayrak
Social Cobots: Anticipatory Decision-Making for Collaborative Robots Incorporating Unexpected Human Behaviors. HRI (2018)
Abdallah M. Bashir, Abubakr Hassan, Benjamin Rosman, Daniel Duma, Mohanad Ahmed
Implementation of A Neural Natural Language Understanding Component for Arabic Dialogue Systems. ACLING (2018)
Ofir Marom, Benjamin Rosman
Zero-Shot Transfer with Deictic Object-Oriented Representation in Reinforcement Learning. NeurIPS (2018)
Ndivhuwo Makondo, Michihisa Hiratsuka, Benjamin Rosman, Osamu Hasegawa
A Non-Linear Manifold Alignment Approach to Robot Learning from Demonstrations. J. Robotics Mechatronics 30 (2) (2018)
Benjamin van Niekerk, Steven D. James, Adam Christopher Earle, Benjamin Rosman
Will it Blend? Composing Value Functions in Reinforcement Learning. CoRR (2018)
Ritesh Ajoodha, Benjamin Rosman
Learning the Influence Structure between Partially Observed Stochastic Processes Using IoT Sensor Data. AAAI Workshops (2018)
Tadahiro Taniguchi, Emre Ugur, Matej Hoffmann, Lorenzo Jamone, Takayuki Nagai, Benjamin Rosman, Toshihiko Matsuka, Naoto Iwahashi, Erhan Öztop, Justus H. Piater, Florentin Wörgötter
Symbol Emergence in Cognitive Developmental Systems: a Survey. CoRR (2018)
Adam Christopher Earle, Andrew M. Saxe, Benjamin Rosman
Hierarchical Subtask Discovery with Non-Negative Matrix Factorization. ICLR (Poster) (2018)
Luke Nicholas Darlow, Benjamin Rosman
Fingerprint minutiae extraction using deep learning. IJCB (2017)
Andrew M. Saxe, Adam Christopher Earle, Benjamin Rosman
Hierarchy Through Composition with Multitask LMDPs. ICML (2017)
Benjamin van Niekerk, Andreas C. Damianou, Benjamin Rosman
Online Constrained Model-based Reinforcement Learning. UAI (2017)
Steven D. James, George Dimitri Konidaris, Benjamin Rosman
An Analysis of Monte Carlo Tree Search. AAAI (2017)
Adam Christopher Earle, Andrew M. Saxe, Benjamin Rosman
Hierarchical Subtask Discovery With Non-Negative Matrix Factorization. CoRR (2017)
Pablo Hernandez-Leal, Matthew E. Taylor, Benjamin Rosman, Luis Enrique Sucar, Enrique Munoz de Cote
Identifying and Tracking Switching, Non-Stationary Opponents: A Bayesian Approach. AAAI Workshop: Multiagent Interaction without Prior Coordination (2016)
Pablo Hernandez-Leal, Benjamin Rosman, Matthew E. Taylor, Luis Enrique Sucar, Enrique Munoz de Cote
A Bayesian Approach for Learning and Tracking Switching, Non-Stationary Opponents: (Extended Abstract). AAMAS (2016)
Michihisa Hiratsuka, Ndivhuwo Makondo, Benjamin Rosman, Osamu Hasegawa
Trajectory learning from human demonstrations via manifold mapping. IROS (2016)
Benjamin Rosman, Majd Hawasly, Subramanian Ramamoorthy
Bayesian policy reuse. Mach. Learn. 104 (1) (2016)
Andrew M. Saxe, Adam Christopher Earle, Benjamin Rosman
Hierarchy through Composition with Linearly Solvable Markov Decision Processes. CoRR (2016)
Benjamin Rosman, Bradley Hayes, Brian Scassellati
Enhancing agent safety through autonomous environment adaptation. ICDL-EPIROB (2015)
Ndivhuwo Makondo, Benjamin Rosman, Osamu Hasegawa
Knowledge transfer for learning robot models via Local Procrustes Analysis. Humanoids (2015)
Benjamin Rosman, Subramanian Ramamoorthy
Action Priors for Learning Domain Invariances. IEEE Trans. Auton. Ment. Dev. 7 (2) (2015)
Pravesh Ranchod, Benjamin Rosman, George Dimitri Konidaris
Nonparametric Bayesian reward segmentation for skill discovery using inverse reinforcement learning. IROS (2015)
Benjamin Rosman, Majd Hawasly, Subramanian Ramamoorthy
Bayesian Policy Reuse. CoRR (2015)
Benjamin Rosman, Subramanian Ramamoorthy, M. M. Hassan Mahmud, Pushmeet Kohli
On user behaviour adaptation under interface change. IUI (2014)
Benjamin Rosman, Subramanian Ramamoorthy
Giving advice to agents with hidden goals. ICRA (2014)
Ashley Kleinhans, Serge Thill, Benjamin Rosman, Renaud Detry, Bryan P. Tripp
Modelling Primate Control of Grasping for Robotics Applications. ECCV Workshops (2) (2014)
Benjamin Rosman
Feature selection for domain knowledge representation through multitask learning. ICDL-EPIROB (2014)
M. M. Hassan Mahmud, Majd Hawasly, Benjamin Rosman, Subramanian Ramamoorthy
Clustering Markov Decision Processes For Continual Transfer. CoRR (2013)
Benjamin Rosman, Subramanian Ramamoorthy
What good are actions? Accelerating learning using learned action priors. ICDL-EPIROB (2012)
Benjamin Rosman, Subramanian Ramamoorthy
Learning spatial relationships between objects. Int. J. Robotics Res. 30 (11) (2011)
Benjamin Rosman, Subramanian Ramamoorthy
A game-theoretic procedure for learning hierarchically structured strategies. ICRA (2010)
Sarah Rauchas, Benjamin Rosman, George Dimitri Konidaris, Ian D. Sanders
Language performance at high school and success in first year computer science. SIGCSE (2006)