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Publications

2017

1. L. Darlow, B. Rosman. Fingerprint Minutiae Extraction using Deep Learning. To appear, International Joint Conference on Biometrics, October 2017.
2. B. van Niekerk, A. Damianou, B. Rosman. Online Constrained Model-based Reinforcement Learning. To appear, Uncertainty in Artificial Intelligence, August 2017.
3. A. Saxe, A. Earle, B. Rosman. Hierarchy Through Composition with Multitask LMDPs. To appear, International Conference on Machine Learning, August 2017.
4. A. Saxe, A. Earle, B. Rosman. Hierarchy Through Composition with Multitask LMDPs. To appear, International Conference on Machine Learning, August 2017. [Supplementary Material]
5. A. Earle, A. Saxe, B. Rosman. Hierarchical Subtask Discovery With Non-Negative Matrix Factorization. To appear, Workshop on Lifelong Learning: A Reinforcement Learning Approach at ICML, August 2017.
6. O.C. Gorur, B. Rosman, G. Hoffman, S. Albayrak. Toward Integrating Theory of Mind into Adaptive Decision-Making of Social Robots to Understand Human Intention. Workshop on the Role of Intentions in Human-Robot Interaction at the International Conference on Human-Robot Interaction, March 2017.
7. S. James, G.D. Konidaris, B. Rosman. An Analysis of Monte Carlo Tree Search. Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 2017.

2016

1. A. Saxe, A. Earle, B. Rosman. Hierarchy through Composition with Linearly Solvable Markov Decision Processes. Technical report, December 2016.
2. R. Berman, R. Benade, B. Rosman, P. Nordengen. Hyperformance: Predicting High-speed Performance of a B-Double. Fourteenth International Symposium on Heavy Vehicle Transport Technology, November 2016.
3. M. Hiratsuka, N. Makondo, B. Rosman, O. Hasegawa. Trajectory Learning from Human Demonstrations via Manifold Mapping. IEEE/RSJ International Conference on Intelligent Robots and Systems, October 2016.
4. S. James, B. Rosman, G. Konidaris. An Investigation into the Effectiveness of Heavy Rollouts in UCT. General Intelligence in Game-Playing Agents (GIGA'16) Workshop at IJCAI, July 2016.
5. B. Rosman, M. Hawasly, S. Ramamoorthy. Bayesian Policy Reuse. Machine Learning Journal, 104(1), pp. 99-127, June 2016.
6. P. Hernandez-Leal, M. Taylor, B. Rosman, E. L. Sucar, E. Munoz de Cote. A Bayesian approach for Learning and Tracking Switching, Non-stationary Opponents. Autonomous Agents and Multiagent Systems, May 2016. [Extended Abstract]
7. P. Hernandez-Leal, M. Taylor, B. Rosman, E. L. Sucar, E. Munoz de Cote. Identifying and Tracking Switching, Non-stationary Opponents: a Bayesian Approach. Workshop on Multiagent Interaction without Prior Coordination (MIPC), at AAAI, February 2016.

2015

1. R. Berman, R. Benade, B. Rosman. Autonomous Prediction of Performance-based Standards for Heavy Vehicles. PRASA-RobMech International Conference, November 2015.
2. R. Ajoodha, R. Klein, B. Rosman. Single-labelled Music Genre Classification Using Content-Based Features. PRASA-RobMech International Conference, November 2015.
3. N. Makondo, B. Rosman, O. Hasegawa. Knowledge Transfer for Learning Robot Models via Local Procrustes Analysis. IEEE-RAS International Conference on Humanoid Robots, November 2015.
4. P. Ranchod, B. Rosman, G. Konidaris. Nonparametric Bayesian Reward Segmentation for Skill Discovery Using Inverse Reinforcement Learning. IEEE/RSJ International Conference on Intelligent Robots and Systems, September 2015.
5. B. Rosman, B. Hayes, B. Scassellati. Enhancing Agent Safety through Autonomous Environment Adaptation. Proceedings of the 5th joint IEEE International Conference on Development and Learning and on Epigenetic Robotics. Providence, Rhode Island,, August 2015.
6. A. Kleinhans, B. Rosman, M. Michalik, B. Tripp, R. Detry. G3DB: A Database of Successful and Failed Grasps with RGB-D Images, Point Clouds, Mesh Models and Gripper Parameters. Workshop on Robotic Hands, Grasping, and Manipulation, at the IEEE International Conference on Robotics and Automation, May 2015. [Extended Abstract]
7. B. Rosman, S. Ramamoorthy. Action Priors for Learning Domain Invariances. IEEE Transactions on Autonomous Mental Development, January 2015.

2014

1. B. van Eden, B. Rosman, D. Withey, T. Ratshidaho, M. Keaikitse, D. Masha, A. Kleinhans, A. Shaik. CHAMP: a Bespoke Integrated System for Mobile Manipulation. RobMech/PRASA/AfLaT, November 2014.
2. B. Rosman. Context-based Online Policy Instantiation for Multiple Tasks and Changing Environments. RobMech/PRASA/AfLaT, November 2014.
3. B. Rosman. Behavioural Domain Knowledge Transfer for Autonomous Agents. AAAI Fall Symposium on Knowledge, Skill, and Behavior Transfer in Autonomous Robots, November 2014.
4. B. Rosman. Feature Selection for Domain Knowledge Representation through Multitask Learning. IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob), October 2014.
5. A. Kleinhans, R. Detry, S. Thill, B. Rosman, B. Tripp. Modelling primate control of grasping for robotics applications. Second Workshop on Affordances: Visual Perception of Affordances and Functional Visual Primitives for Scene Analysis (with ECCV), September 2014.
6. B. Rosman. Learning Domain Abstractions for Long Lived Robots. PhD Thesis. The University of Edinburgh, August 2014.
7. M.M.H. Mahmud, B. Rosman, S. Ramamoorthy, P. Kohli. Adapting Interaction Environments to Diverse Users through Online Action Set Selection. In Proc. AAAI Workshop on Machine Learning for Interactive Systems (AAAI-MLIS), July 2014.
8. B. Rosman, S. Ramamoorthy. Giving Advice to Agents with Hidden Goals. In Proc. International Conference on Robotics and Automation (ICRA), May 2014.
9. B. Rosman, S. Ramamoorthy, M.M.H. Mahmud, P. Kohli. On User Behaviour Adaptation Under Interface Change. In Proc. International Conference on Intelligent User Interfaces (IUI), February 2014.
10. M.M.H. Mahmud, M. Hawasly, B. Rosman, S. Ramamoorthy. Clustering Markov Decision Processes for Continual Transfer. Technical Report, University of Edinburgh, January 2014.

2013 and earlier

1. S. Ramamoorthy, M.M.H. Mahmud, B. Rosman, P. Kohli. Latent-variable MDP models for adapting the interaction environment of diverse users. Technical Report, University of Edinburgh, January 2013.
2. B. Rosman, S. Ramamoorthy. What Good are Actions? Accelerating Learning using Learned Action Priors. IEEE International Conference on Development and Learning (ICDL-EpiRob), November 2012. [Paper of Excellence Award]
3. B. Rosman, S. Ramamoorthy. A Multitask Representation using Reusable Local Policy Templates. AAAI 2012 Spring Symposium Series on Designing Intelligent Robots: Reintegrating AI, March 2012.
4. B. Rosman, S. Ramamoorthy. Learning Spatial Relationships between Objects. International Journal of Robotics Research, Special Issue on Semantic Perception for Robots in Indoor Environments, vol. 30, 11: pp. 1328-13, September 2011.
5. B. Rosman, S. Ramamoorthy. A Game Theoretic Procedure for Learning Hierarchically Structured Strategies. IEEE International Conference on Robotics and Automation, May 2010.
6. B. Rosman. Game-Theoretic Procedures for Learning Structured Strategies from Demonstration. MSc Dissertation, the University of Edinburgh, September 2009.
7. B. Rosman. Calculation of Molecular Vibrational Normal Modes. Computational and Applied Mathematics Honours Dissertation, the University of the Witwatersrand, September 2008.
8. B. Rosman. Similarity of Abstract Images. Computer Science Honours Dissertation, the University of the Witwatersrand, November 2007.
9. S. Rauchas, B. Rosman, G.D. Konidaris and I.D. Sanders. Language Performance at High School and Success in First Year Computer Science. SIGCSE Technical Symposium on Computer Science Education, March 2006.