174 search results - page 20 / 35 » The Moving Target Function Problem in Multi-Agent Learning |
AAAI
2011
12 years 7 months ago
2011
We propose CCRank, the first parallel algorithm for learning to rank, targeting simultaneous improvement in learning accuracy and efficiency. CCRank is based on cooperative coev...
ECML
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....
ICML
2002
IEEE
14 years 8 months ago
2002
IEEE
Searching the space of policies directly for the optimal policy has been one popular method for solving partially observable reinforcement learning problems. Typically, with each ...
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
In the present article, we introduce a new method for identification of metabolic pathways in constraint based models that consider enzyme and substrate concentrations. It genera...
PERCOM
2005
ACM
14 years 7 months ago
2005
ACM
With the advances in mobile technologies is now possible to support learners and teachers activities on the move. We analyzed the functionalities that should be provided by a gene...