sven koenig fvatwwouscedu call papers journal machine learning research special issue learning large probabilistic environments guest editors sven koenig shie mannor georgios theocharous httpwwwjmlrorgcfpllpehtml invite papers learning large probabilistic environments special issue 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 issue 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 issue learning large probabilistic environments important dates submission due april 15th 2005 decision august 1st 2005 final version due october 1st 2005 details enquiries please contact guest editors sven koenig fvatwwouscedu shie mannor qgmpecemcgillca georgios theocharous emueqnvbnlgzvdneemuintelcom tue 05 aug 2008 181918 0700 uai cfp jmlr special issue learning large probabilistic environments