Dr Jeremy Wyatt, Curriculum Vitae
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Senior Lecturer, Leverhulme Research Fellow School of Computer Science University of Birmingham Edgbaston Birmingham, UK B15 2TT (44) 121 414 4788 (44) 121 414 4281 (fax) Email: jlw@cs.bham.ac.uk |
Biography
Recent Publications
Grants Held
Professional Activities
Teaching
Biography
Jeremy Wyatt graduated with a BA in Theology from the University of Bristol in 1990, and subsequently obtained an MSc in Intelligent Knowledge Based Systems from the University of Sussex (1992). His doctoral work, on the role of exploration and inference in reinforcement learning was carried out in the Department of Artificial Intelligence at the University of Edinburgh. Now a lecturer in the School of Computer Science at the University of Birmingham, his interests revolve around robot learning, reinforcement learning, and statistical approaches to machine learning. His current and recent research projects include the application of reinforcement learning to mobile robots; the design and analysis of experiments in robot learning; optimal exploration in reinforcement learning; task driven hidden Markov modelling; neural network ensembles; learning to segment and classify robot time series; the use of factored graphical models in reinforcement learning; hierarchy in reinforcement learning; and evolution of visual processing using genetic programming.Jeremy runs the Intelligent Robotics Laboratory at the School of Computer Science, has served on a number of programme committees, reviews for conferences and journals and has been an invited speaker at a number of workshops and summer schools. His teaching has included undergraduate courses in introductory AI, neural networks, AI programming, human computer interaction and intelligent robotics. His teaching interests have also included the development of an on-line neural networks resource; and a programming environment for novice programmers to experiment with and construct intelligent agents.
Recent Publications
Michael Brenner, Nick Hawes, John Kelleher and Jeremy Wyatt. Mediating Between Qualitative and Quantitative Representations for Task-Orientated Human-Robot Interaction. In Proceedings of the Twentieth International Joint Conference on Artificial Intelligence (IJCAI 07) . January 2007.Funlade T. Sunmola and Jeremy L. Wyatt, Model Transfer for Markov Decision Tasks via Parameter Matching, In Proceedings of the 25th Workshop of the UK Planning and Scheduling Special Interest Group (PlanSIG 2006) , December 2006.
Ritthipravat, P., Maneewarn, T., Wyatt, J. and Laowattana, D., 2006 "Comparison and Analysis of Expertness Measure in Knowledge among Robots", Lecture Notes in Artificial Intelligence , Vol. 4031, pages 60-69.
Ritthipravat, P., Maneewarn, T., Wyatt, J. and Laowattana, D., 2006 "Fuzzy-Q Knowledge Sharing Techniques with Expertness Measures: Comparison and Analysis", Lecture Notes in Computer Science , Vol. 3967, pages 544-554.
Ritthipravat P., Maneewarn T., Wyatt J. and Laowattana D., "Improved knowledge sharing using regret evaluation", International Journal of Information Technology and Intelligent Computing , Vol.1., No.1, pages 149 - 162.
Nick Hawes, Jeremy Wyatt and Aaron Sloman. An Architecture Schema for Embodied Cognitive Systems. Technical Report CSR-06-12, University of Birmingham, School of Computer Science, November 2006.
Aaron Sloman, Jeremy Wyatt, Nick Hawes, Jackie Chappell and Geert-Jan M. Kruijff. Long Term Requirements for Cognitive Robotics. In Proceedings CogRob2006 , The Fifth International Cognitive Robotics Workshop . The AAAI-06 Workshop on Cognitive Robotics, July 2006.
Nick Hawes and Jeremy Wyatt. Towards Context-Sensitive Visual Attention. In Proceedings of the Second International Cognitive Vision Workshop (ICVW06) . May 2006.
F. Sunmola and J. Wyatt. Bayesian Inference in Constrained Parameter Markov Decision Processes with Uncertain Transition Probabilities. In Proceedings of the ECAI 2006 Workshop on Planning, Learning and Monitoring with Uncertainty and Dynamic Worlds , 2006.
Gavin Brown, Jeremy Wyatt and Peter Tino, Managing Diversity in Regression Ensembles Journal of Machine Learning Research (6), pp.1621--1650, 2005.
Y. Matsumura, N. Fujimoto, X. Yao, J.L. Wyatt and K.Hagihara, Near-Optimal Dynamic Grid Task Scheduling of Evolution Strategies, in 4th International Conference on Advanced Mechatronics (ICAM 04) , pp.175-180, Japan, 2004.
Yoshiyuki Matsumura, Noriyuki Fujimoto, Xin Yao, Jeremy Wyatt and Kenichi Hagihara, Evolution Strategies on Grid Computing, China-Japan Joint Conference on Mechatronics (CJCM), CJ-H2, pp.105-106, Suzhou, China, 2004.
Arthur Braga, Aluizio Araujo, and Jeremy Wyatt, Incremental Topological Reinforcement Learning Agent in Non-Structured Environments, in Proceedings of IEEE SMC 2004, International Conference on Systems, Man and Cybernetics, pp. 5567--5572, 2004.
Panrasee Ritthipravat, Thavida Maneewarn, Djitt Laowattana, Jeremy Wyatt, A Modified Approach to Fuzzy Q Learning for Mobile Robots, in Proceedings of IEEE SMC 2004, International Conference on Systems, Man and Cybernetics, pp. 2350--2356, 2004.
Jeremy Wyatt, Yoshiyuki Matsumura and Matthew Todd, Learning in Robot Teams, Teamwork: Multi-Disciplinary Perspectives, edited by Natalie Gold, Chapter 11, pp.236--251, Palgrave McMillan, 2004.
Gavin Brown, Jeremy Wyatt, Rachel Harris and Xin Yao, Diversity Creation, Information Fusion, Special issue on Diversity in Multiple Classifier Systems edited by Ludmilla I. Kuncheva, Vol 6, Issue 1, pp.5--20. Elsevier, 2004.
Y. Matsumura, X. Yao, J. L. Wyatt, K. Ohkura and K. Ueda, Robust Evolution Strategies Applied to Continuous-Time Recurrent Neural Networks, Proceedings of the 2nd International Conference on Computational Intelligence, Robotics and Autonomous Systems (CIRAS 2003), pp.PS07-3-03, Singapore, 2003.
Funlade Sunmola and Jeremy Wyatt (2003). Optimistic Model Selection in Structure Based Reinforcement Learning, Proceedings of the Sixth European Workshop on Reinforcement Learning EWRL-6 , Edited by Alain Dutech and Olivier Buffet, Nancy, France, pages 31-32.
A. Grossmann, M. Wendt, and J. Wyatt, A Semi-supervised Method for Learning the Structure of Robot Environment Interaction, Proceedings of the 5th International Symposium on Intelligent Data Analysis, pp.36--47, Springer Verlag, 2003.
Gavin Brown and Jeremy Wyatt, The Use of the Ambiguity Decomposition in Neural Network Ensemble Learning Methods, to appear in Proceedings of the 20th International Conference on Machine Learning (ICML'03) , pp.67--74, Edited by Tom Fawcett and Nina Mishra, Morgan Kaufmann, 2003.
Hector Montes and Jeremy Wyatt, Cartesian Genetic Programming for Image Processing Tasks, Neural Networks and Computational Intelligence, pp.185--190, edited by O. Castillo, ACTA Press, 2003.
F. T. Sunmola and J. L. Wyatt (2003). Developing Committee of Explorers for Reinforcement Learning Agents, Proceedings of the AISB'03 Third Symposium on Adaptive Agents and Multi-Agent Systems (AAMAS) , Aberystwyth, pages 31-37.
Gavin Brown and Jeremy L. Wyatt, Negative Correlation Learning and The Ambiguity Family of Ensemble Methods, Proc. International Workshop on Multiple Classifier Systems (LNCS 2509), Guildford, UK, pp.266-275, Springer-Verlag, 2003.
Jeremy Wyatt, Reinforcement Learning: a brief overview, Perspectives on Adaptivity and Learning, edited by I.O. Stamatescu et al., pp.243--264, Springer, 2002. gzipped .ps file , .ps file
Gavin Brown, Xin Yao, Jeremy Wyatt, Heiko Wersing and Bernhard Sendhoff, Exploiting Ensemble Diversity for Automatic Feature Extraction Proc. of the 9th International Conference on Neural Information Processing (ICONIP'02), pp.1786--1790, Singapore, 2002.
Jeremy Wyatt, Exploration Control in Reinforcement Learning Using Optimistic Model Selection, Proceedings of the Eighteenth International Conference on Machine Learning, ICML-2001 edited by A.Danyluk and C.Brodley, pp. 593--600, Morgan Kaufmann, 2001. gzipped .ps file , .ps file
Adrian Hartley and Jeremy Wyatt, Issues in Hidden Markov Modelling and Task Driven Perception, Learning Grounded Representations: Papers from 2001 AAAI Spring Symposium, edited by Paul R. Cohen and Tim Oates, AAAI Press, Technical Report SS-01-05, pp.28--30, 2001.Jeremy Wyatt and John Demiris (Editors). Advances in Robot Learning: Proceedings of the 8th European Workshop on Learning Robots , Springer Verlag, Lecture Notes in AI 1812, 2000.
Jeremy Wyatt, Optimistic Model Selection for Exploration Control, Learning'00 . Publishers: Universidad Carlos III de Madrid, CD Proceedings, ISSN: 84-89315-19-1, Editors: C.Bousono-Calzon, F. Diaz de Maria, A.R. Figueiras-Vidal, and H. Molina-Bulla. (2000).
Jeremy Wyatt, John Hoar and Gillian Hayes, Design, analysis and comparison of robot learners,Robotics and Autonomous Systems: Special Issue on quantitative methods in mobile robotics, edited by Ulrich Nehmzow, Michael Recce and David Bisset, Vol 24, Nos 1--2, pp.17--32. (1998).
Jeremy Wyatt, John Hoar and Gillian Hayes, Experimental methods for robot learning in Towards Intelligent Mobile Robots - Scientific Methods in Mobile Robotics. U. Nehmzow, M. Recce and D. Bisset (eds.). University of Manchester, Department of Computer Science Tech Report UMCS-97-9-1. (1997).
John Hoar, Jeremy Wyatt and Gillian Hayes, Multiple Evaluation Techniques for Robot Learning, in proceedings 10th International Florida AI research symposium, (FLAIRS-97), pp. 267--271, Florida, Florida AI Research Society, 1997.
Jeremy Wyatt,Exploration and Inference in Learning from Reinforcement,Ph.D. Thesis, Department of Artificial Intelligence, University of Edinburgh. (1997).
Jeremy Wyatt, Gillian Hayes and John Hallam, Investigating the Behaviour of Q(lambda), Colloquium on Self-Learning Robots, IEE, London, (1996).
Jeremy Wyatt, Issues in putting Reinforcement Learning onto robots, Mobile Robotics Workshop, 10th Biennal Conference of the AISB, Sheffield, UK. (1995).
Grants Held
- 2006-2008 Jeremy Wyatt "Planning the gathering and processing of visual information in robots." Funded by: The Leverhulme Trust, £ 23,538, RF/9/2006/0235.
- 2004-2008 Jeremy Wyatt and Aaron Sloman "Cognitive Systems for Cognitive Assistants." Funded by: European Commission. Value: £ 619,334, FP6-2002-IST-2 Project Number 004250.
- 2004-2005 Jeremy Wyatt: "Novel algorithms for efficient grid based evolution of robot controllers." Funded by: Royal Society. Value: £ 1,850
- 2001-2003 Jeremy Wyatt: "Integration of planning and learning in real robot tasks." Funded by: British Council / DAAD. Value: £ 2,750
Past PhD Students
- Gavin Brown, Diversity in Neural Network Ensembles,
Winner of the British Computer Society/CPHC Distinguished Dissertation Award 2004. - Adrian Hartley, Variable State Methods for Learning with Hidden State, 2006.
PhD Students Currently supervised
- Damien Duff: Metaphor and Machine Learning.
- Ismail Bhula: Learning and Grounding in Natural Language.
- Hector Montes: evolving perceptual processors for mobile robot vision.
- Funlade Sunmola: task transfer in structured reinforcement learning.
- Noel Welsh: hierarchical reinforcement learning.
- Marek Kopicki: robot learning.
Professional Activities
Invited speaker at academic conferencesBCS-PAR Summer School on Pattern Recognition, UK - July 2003 (Exeter), 2004, 2005 and 2006 (Plymouth).
Teamwork: A Multiprofessional Workshop, University of Oxford - April 2003
Workshop on Artficial Life and Robotics, Aarhus University, Denmark - Jan 1998
Workshop on Reinforcement Learning and Robotics, University of Neuchatel, Switz - Dec 1997
Invited Talks
King Monghut III University of Technology, Thailand, 2006
University of Bath, 2004
University of Bristol, 2002
University of Massachussetts, Amherst, 2001
University of Edinburgh, 1998
Programme Committees
European Workshop on Learning Robots 6 (EWLR 6), 1997
European Workshop on Learning Robots 7, 1998
4th and 5th European Workshops on Reinforcement Learning, 2001, 2003
Towards Intelligent Mobile Robots, 1999, 2000, 2001, 2002, 2003
International Conference on Advances in Intelligent Systems: Theory and Application, 2000
Robocup 2001 International Symposium
18th IEEE International Symposium on Intelligent Control (ISIC 03)
3rd International Conference on Entertainment Computing (ICEC 2004), Eindhoven, Sept 2004.
IEEE International Conference on Advances in Intelligent Systems, (AISTA 2004), Luxembourg, Nov 2004.
Robotics: Science and Systems, 2005.
AISB Symposium on Robotics and Creativity, 2005
International Conference on Informatics in Control, Automation and Robotics" (ICINCO), 2005.
International Conference on Informatics in Control, Automation and Robotics" (ICINCO), 2006, 2007.
12th European Conference on Machine Learning, 2001
IJCAI'03
Autonomous Robots
Robotics and Autonomous Systems
Adaptive Behaviour
EPSRC
Singaporean Research Councils
INFORMS Journal on Computing
IEEE Transactions on Evolutionary Computing
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Man, Systems and Cybernetics
Programme Chairs
Chair of 8th European Workshop on Learning Robots, Lausanne, 1998
Co-Chair of 9th European Workshop on Learning Robots, Prague 2000
External PhD Vivas
Panrasee Ritthipravat, King Monghut III University of Technology, Thailand, 2006
Andrew Smith, University of Edinburgh, 2002
Gianluca Baldassare, University of Essex, 2002
Media
Appearances, invited articles and interviews for BBC Children's TV, BBC
West Midlands today, BBC Radio, BBC News 24, Sky TV, Glasgow Herald.