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.
Field of science
- /natural sciences/computer and information sciences/artificial intelligence/machine learning
Call for proposal
FP7-ICT-2009-6
See other projects for this call
Funding Scheme
CP - Collaborative project (generic)Coordinator
WC1E 6BT London
United Kingdom
Participants (8)
8700 Leoben
10623 Berlin
Participation ended
80539 Muenchen
64289 Darmstadt
78153 Le Chesnay Cedex
6525 EZ Nijmegen
TW20 0EX Egham
BS8 1QU Bristol
