Project description
Cognitive Systems and Robotics
One of the aspirations of machine learning is to develop intelligent systems that can address a wide variety of control problems of many different types. Currently, the technology used to specify, solve and analyse one control problem typically cannot be reused on a different problem. The purpose of CompLACS is to develop a unified toolkit that will incorporate the most successful approaches to control problems within a single framework, including bandit problems, Markov Decision Processes (MDPs), Partially Observable MDPs (POMDPs), continuous stochastic control, and multi-agent systems. The toolkit will also provide a generic interface to specifying problems and analysing performance, by mapping intuitive, human-understandable goals into machine-understandable objectives, and by mapping algorithm performance and get back into human-understandable terms.
Fields of science
Call for proposal
FP7-ICT-2009-6
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Funding Scheme
CP - Collaborative project (generic)Coordinator
WC1E 6BT London
United Kingdom
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Participants (8)
8700 Leoben
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10623 Berlin
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Participation ended
80539 Munchen
64289 Darmstadt
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78153 Le Chesnay Cedex
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6525 XZ Nijmegen
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TW20 0EX Egham
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BS8 1QU Bristol
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