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ORCIDMalcolm J. A. Strens
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2000 – 2009
- 2006
[c13]Malcolm J. A. Strens:
Combining Stochastic Task Models with Reinforcement Learning for Dynamic Scheduling. ICAPS 2006: 426-429- 2005
- [c12]Spiros Kapetanakis, Daniel Kudenko, Malcolm J. A. Strens:
Learning to Coordinate Using Commitment Sequences in Cooperative Multi-agent Systems. Adaptive Agents and Multi-Agent Systems 2005: 106-118 - [c11]Malcolm J. A. Strens:
Learning Multi-agent Search Strategies. Adaptive Agents and Multi-Agent Systems 2005: 245-259 - [c10]Malcolm J. A. Strens, Neil Windelinckx:
Combining Planning with Reinforcement Learning for Multi-robot Task Allocation. Adaptive Agents and Multi-Agent Systems 2005: 260-274 - 2004
- [c9]Thomas Walker, Daniel Kudenko, Malcolm J. A. Strens:
Algorithms for Distributed Exploration. ECAI 2004: 84-88 - [c8]Malcolm J. A. Strens:
Efficient hierarchical MCMC for policy search. ICML 2004 - 2003
- [j2]Malcolm J. A. Strens, Ian N. Gregory:
Tracking in cluttered images. Image Vis. Comput. 21(10): 891-911 (2003) - [c7]Malcolm J. A. Strens:
Evolutionary MCMC Sampling and Optimization in Discrete Spaces. ICML 2003: 736-743 - 2002
- [j1]Malcolm J. A. Strens, Andrew W. Moore:
Policy Search using Paired Comparisons. J. Mach. Learn. Res. 3: 921-950 (2002) - [c6]Spiros Kapetanakis, Daniel Kudenko, Malcolm J. A. Strens:
Reinforcement Learning Approaches to Coordination in Cooperative Multi-agent Systems. Adaptive Agents and Multi-Agents Systems 2002: 18-32 - [c5]Malcolm J. A. Strens, Mark Bernhardt, Nicholas Everett:
Markov Chain Monte Carlo Sampling using Direct Search Optimization. ICML 2002: 602-609 - 2001
- [c4]Malcolm J. A. Strens, Andrew W. Moore:
Direct Policy Search using Paired Statistical Tests. ICML 2001: 545-552 - 2000
- [c3]Malcolm J. A. Strens:
A Bayesian Framework for Reinforcement Learning. ICML 2000: 943-950
1990 – 1999
- 1998
- [c2]Tim Baker, Malcolm J. A. Strens:
Representation of uncertainty in spatial target tracking. ICPR 1998: 1339-1342 - 1997
- [c1]Malcolm J. A. Strens, James F. Boyce:
Constraint Directed Learning for Unsupervised Image Sequence Segmentation. ICIP (1) 1997: 743-746
Coauthor Index
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