peter auer vnzxunileobenacat research position reinforcement learning project funded pascal network excellence httpwwwpascalnetworkorg looking highly motivated post doctoral researcher phd student abstract research program attached project duration 2 years possible extension position filled soon possible latest may 2005 university leoben prof peter auer university southampton prof john shawetaylor max plank institute biological cybernetics prof bernhard schölkopf università degli studi di milano prof nicolo cesabianchi cooperating project successful candidate opportunity visit involved institutes expected spend significant amount time leoben information please contact prof peter auer vnzxunileobenacat applications also sent prof peter auer online performance reinforcement learning internal reward functions consider reinforcement learning paradigm online learning objective good performance whole learning process contrast typical analysis reinforcement learning one interested learning finally nearoptimal strategy conduct mathematically rigorous analysis reinforcement learning alternate paradigm expect result novel efficient learning algorithms believe intelligent interfaces proposed online paradigm provides significant benefits interface would deliver reasonable performance even early training process also carry analysis realistic problems large continuous state spaces function approximation well founded function approximation methods finally interested methods reinforcement learning little external reinforcement provided learning agent since useful external rewards often hard come investigate creation internal reward functions drive consolidation extension learned knowledge mimicking cognitive behaviour tue 05 aug 2008 180837 0800 uai research position reinforcement learning