sven koenig fvatwwouscedu call papers journal machine learning research special topic learning large probabilistic environments guest editors sven koenig shie mannor georgios theocharous httpwwwjmlrorgcfpllpehtml invite papers learning large probabilistic environments special topic journal machine learning research jmlr one fundamental problems artificial intelligence enable systems example mobile robots manufacturing systems diagnostic systems embedded complex environments achieve longterm goals efficiently natural approach model systems agents interact environment actions perceptions rewards agents choose actions every observation aiming maximize longterm reward learning allows improve initial strategy based history successful unsuccessful interactions environment special topic intended serve outlet recent advances learning environments often called reinforcement learning welcome theoretical advances field well detailed reports applications learning large probabilistic domains topics interest include theoretical foundations learning large probabilistic environments completely partially observable markov decision process models mdps similar models learning factored state action spaces continuous state spaces action spaces time models hybrid models relational learning concurrency heuristics approximations policy value function approximations monte carlo advanced simulation methods spatiotemporal abstractions dynamic factorization hierarchy relational structure interactive learning guided exploration combining supervised unsupervised learning shaping learning examples learning complex systems function approximation dimensionality reduction feature selection learning alternative state representations cooperative competitive multiagent reinforcement learning learning nonstationary domains stochastic network dynamic games real world applications medicine finance robotics manufacturing security etc submission procedure submit papers standard jmlr submission system httpjmlrcsailmitedumanudb please include note stating submission special topic learning large probabilistic environments accepted papers published jmlr become available important dates submission due june 1st 2005 decision september 1st 2005 final version due november 1st 2005 early submissions encouraged handled immediately following submission details enquiries please contact guest editors sven koenig fvatwwouscedu shie mannor qgmpecemcgillca georgios theocharous emueqnvbnlgzvdneemuintelcom wed 06 aug 2008 014748 0700 uai cfp jmlr special topic learning large probabilistic environments