Auflistung: nach Autor Riedmiller, M.


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ErscheinungsdatumTitelAutor(en)
2009A case study on improving defense behavior in soccer simulation 2D: The neurohassle approachGabel, T.; Riedmiller, M.; Trost, F.
2006Abstract state spaces with historyTimmer, S.; Riedmiller, M.
2007An analysis of case-based value function approximation by approximating state transition graphsGabel, T.; Riedmiller, M.
2007Appearance-based robot discrimination using eigenimagesLange, S.; Riedmiller, M.
2005Comparing different methods to speed up reinforcement learning in a complex domainRiedmiller, M.; Withopf, D.
2005Effective methods for reinforcement learning in large multi-agent domains [Leistungsfähige verfahren für das reinforcement lernen in komplexen multi-agenten-umgebungen]Riedmiller, M.; Withopf, D.
2008Evaluation of batch-mode reinforcement learning methods for solving DEC-MDPs with changing action setsGabel, T.; Riedmiller, M.
2007Evaluation of policy gradient methods and variants on the cart-pole benchmarkRiedmiller, M.; Peters, J.; Schaal, S.
2007Fitted Q iteration with CMACsTimmer, S.; Riedmiller, M.
2008Increasing precision of credible case-based inferenceGabel, T.; Riedmiller, M.
2008Joint equilibrium policy search for multi-agent scheduling problemsGabel, T.; Riedmiller, M.
2005Learning policies for abstract state spacesTimmer, S.; Riedmiller, M.
2008Learning to dribble on a real robot by success and failureRiedmiller, M.; Hafner, R.; Lange, S.; Lauer, M.
2007Learning to drive a real car in 20 minutesRiedmiller, M.; Montemerlo, M.; Dahlkamp, H.
2007Making a robot learn to play soccer using reward and punishmentMüller, H.; Lauer, M.; Hafner, R.; Lange, S.; Merke, A.; Riedmiller, M.
2007Neural reinforcement learning controllers for a real robot applicationHafner, R.; Riedmiller, M.
2005Neural reinforcement learning to swing-up and balance a real poleRiedmiller, M.
2007On a successful application of multi-agent reinforcement learning to operations research benchmarksGabel, T.; Riedmiller, M.
2007On experiences in a complex and competitive gaming domain: Reinforcement learning meets RoboCupRiedmiller, M.; Gabel, T.
2006Reducing policy degradation in neuro-dynamic programmingGabel, T.; Riedmiller, M.
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