remi munos gcqfpnpaipolytechniquefr apologize multiple receipts call contributions workshop kernel machines reinforcement learning international conference machine learning icml 2006 held june 29 2006 workshop web site httpwwwgrappaunivlille3frkrlhtml reinforcement learning rl devoted learn make sequential decisions complex stochastic unknown environments realworld applications various rl techniques need combined powerful function approximation methods recent years seen significant advance applying kernel methods various supervised unsupervised learning problems kernel methods hold significant promise machine learning make possible derive efficient algorithms work powerful function spaces algorithms often come performance guarantees despite recent advances applying kernel methods various machine learning problems relatively works devoted far combination rl aim workshop bridge gap bringing together researchers interested topics submissions 2 15 pages expected april 30 2006 workshop organizers davy r munos ph preux cs szepesvari thu 07 aug 2008 045749 0200 uai workshop kernel machines reinforcement learning icml 2006