[UAI] Workshop "Kernel Machines and Reinforcement Learning", ICML 2006 We apologize for multiple receipts.

CALL FOR CONTRIBUTIONS to the workshop "Kernel Machines and 
Reinforcement Learning"
International Conference on Machine Learning (ICML 2006), to be held on 
June 29, 2006.
The workshop web site is at: http://www.grappa.univ-lille3.fr/krl.html

Reinforcement Learning (RL) is devoted to learn to make sequential 
decisions in complex, stochastic, unknown
environments. For real-world applications, the various RL techniques 
need to be combined with powerful function approximation methods. The 
recent years have seen a significant advance in applying kernel methods 
to various supervised and unsupervised learning problems. Kernel methods 
hold a significant promise in machine learning because they make it 
possible to derive efficient algorithms that work in powerful function 
spaces and the algorithms often come with performance guarantees. 
Despite the recent advances in applying kernel methods to various 
machine learning problems, relatively few works have been devoted so far 
to their combination with RL. The aim of the workshop is to bridge this 
gap by bringing together researchers who are interested in both topics.

Submissions (2 to 15 pages) are expected by April 30, 2006.

The workshop organizers are:
M. Davy, R. Munos, Ph. Preux, and Cs. Szepesvari.


