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Full Publication List for Prof. Dr. Martin Riedmiller

The following list contains publications up to the beginning of Summer Term 2015. For newer publications, please refer to this list at Google Scholar.

2016

  • SS Kumar, J Wülfing, S Okujeni, J Boedecker, M Riedmiller, U Egert (2016) Autonomous Optimization of Targeted Stimulation of Neuronal Networks. PLoS Comput Biol 12 (8) pp. e1005054. web Bibtex

2015

  • Wendelin Böhmer, Jost Tobias Springenberg, Joschka Boedecker, Martin Riedmiller, Klaus Obermayer (2015) Autonomous Learning of State Representations for Control: An Emerging Field Aims to Autonomously Learn State Representations for Reinforcement Learning Agents from Their Real-World Sensor Observations. KI - Künstliche Intelligenz pp. 1-10. Springer Berlin Heidelberg. doi web Bibtex
  • J. T. Springenberg, A. Dosovitskiy, T. Brox, M. Riedmiller (2015) Striving for Simplicity: The All Convolutional Net. In arXiv:1412.6806, also appeared at ICLR 2015 Workshop Track. web Bibtex
  • A. Eitel, J. T. Springenberg, L. Spinello, M. Riedmiller, W. Burgard (2015) Multimodal Deep Learning for Robust RGB-D Object Recognition. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). web Bibtex
  • Manuel Watter, Jost Springenberg, Joschka Boedecker, Martin Riedmiller (2015) Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images. In Advances in Neural Information Processing Systems 28. pp. 2728–2736. PDF Bibtex

2014

  • Thomas Lampe, Lukas D. J. Fiederer, Martin Voelker, Alexander Knorr, Martin Riedmiller, Tonio Ball (2014) A Brain-Computer Interface for High-Level Remote Control of an Autonomous, Reinforcement-Learning-Based Robotic System for Reaching and Grasping. In International Conference on Intelligent User Interfaces (IUI 2014). Haifa, Israel. web Bibtex
  • David Silver, G. Lever, Nicolas Heess, Thomas Degris, Daan Wierstra, Martin Riedmiller (2014) Deterministic Policy Gradient Algorithms. In The 31st International Conference on Machine Learning (ICML 2014). Bejing, China. web Bibtex
  • Thomas Lampe, Martin Riedmiller (2014) Approximate Model-Assisted Neural Fitted Q-Iteration. In IEEE International Joint Conference on Neural Networks (IJCNN 2014). Beijing, China. PDF Bibtex
  • Joschka Boedecker, Jost Tobias Springenberg, Jan Wülfing, Martin Riedmiller (2014) Approximate Real-Time Optimal Control Based on Sparse Gaussian Process Models. In Adaptive Dynamic Programming and Reinforcement Learning (ADPRL). PDF Bibtex
  • Alexey Dosovitskiy, Jost Tobias Springenberg, Martin Riedmiller, Thomas Brox (2014) Discriminative Unsupervised Feature Learning with Convolutional Neural Networks. In 28th Annual Conference on Neural Information Processing Systems (NIPS). Bibtex
  • M Duempelmann, S Ewing, M Blum, R Rostek, P Woias, M Riedmiller, A Schulze-Bonhage (2014) Investigation of low complexity seizure detection algorithm for closed loop devices in epilepsy treatment. Clinical Neurophysiology pp. S80. Bibtex

2013

  • Manuel Blum, Martin Riedmiller (2013) Electricity Demand Forecasting using Gaussian Processes. In The AAAI-13 Workshop on Trading Agent Design and Analysis (TADA-13). PDF Bibtex
  • Thomas Gabel, Martin Riedmiller (2013) The Cooperative Driver: Multi-Agent Learning for Preventing Traffic Jams. International Journal of Traffic and Transportation Engineering 1 (4) pp. 67–76. Scientific & Academic Publishing. PDF Bibtex
  • Manuel Blum, Martin Riedmiller (2013) Optimization of Gaussian Process Hyperparameters using Rprop. In European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. PDF Bibtex
  • Thomas Lampe, Martin Riedmiller (2013) Acquiring Visual Servoing Reaching and Grasping Skills using Neural Reinforcement Learning. In IEEE International Joint Conference on Neural Networks (IJCNN 2013). Dallas, TX. PDF Bibtex
  • Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, Martin Riedmiller (2013) Playing Atari with Deep Reinforcement Learning. In NIPS Workshop on Deep Learning and Unsupervised Feature Learning. web Bibtex
  • Joschka Boedecker, Thomas Lampe, Martin Riedmiller (2013) Modeling effects of intrinsic and extrinsic rewards on the competition between striatal learning systems. Frontiers in Psychology 4 (739) doi web Bibtex
  • Jost Tobias Springenberg, Martin Riedmiller (2013) Improving Deep Neural Networks with Probabilistic Maxout Units. In arXiv:1312.6116, also appeared at ICLR 2014 Workshop Track. web Bibtex

2012

  • Martin Riedmiller, Sascha Lange, Arne Voigtlaender (2012) Autonomous reinforcement learning on raw visual input data in a real world application. In International Joint Conference on Neural Networks. Brisbane, Australia. PDF Bibtex
  • Manuel Blum, Jost Tobias Springenberg, Jan Wülfing, Martin Riedmiller (2012) A Learned Feature Descriptor for Object Recognition in RGB-D Data. In IEEE International Conference on Robotics and Automation (ICRA). St. Paul, Minnesota, USA. PDF Bibtex
  • Oliver Obst, Martin Riedmiller (2012) Taming the Reservoir: Feedforward Training for Recurrent Neural Networks. In International Joint Conference on Neural Networks. Brisbane, Australia. PDF Bibtex
  • Jan Wülfing, Martin Riedmiller (2012) Unsupervised Learning of Local Features for Music Classification. In Proceedings of the 13th International Society for Music Information Retrieval Conference (ISMIR). Porto, Portugal. PDF Bibtex
  • Jan Mattner, Sascha Lange, Martin Riedmiller (2012) Learn to Swing Up and Balance a Real Pole Based on Raw Visual Input Data. In Proceedings of the 19th International Conference on Neural Information Processing (5) (ICONIP 2012). pp. 126–133. Dohar, Qatar. PDF Bibtex
  • Jost Tobias Springenberg, Martin Riedmiller (2012) Learning temporal coherent features through life-time sparsity. In International Conference on Neural Information Processing (ICONIP). pp. 347–356. Bibtex
  • Martin Riedmiller (2012) 10 Steps and Some Tricks to Set up Neural Reinforcement Controllers.. In Neural Networks: Tricks of the Trade (2nd ed.). pp. 735-757. PDF Bibtex

2011

  • T. Gabel, C. Lutz, M. Riedmiller (April 2011) Improved Neural Fitted Q Iteration Applied to a Novel Computer Gaming and Learning Benchmark. In In Proceedings of the IEEE Symposium on Approximate Dynamic Programming and Reinforcement Learning (ADPRL 2011). IEEE Press. Paris France. PDF Bibtex
  • Andreas Witsch, Roland Reichle, Sascha Lange, Martin Riedmiller, Kurt Geihs (April 2011) Enhancing the Episodic Natural Actor-Critic Algorithm by a Regularisation Term to Stabilize Learning of Control Structures. In In Proceedings of the IEEE Symposium on Approximate Dynamic Programming and Reinforcement Learning (ADPRL 2011). IEEE Press. Paris France. PDF Bibtex
  • Thomas Gabel, Martin Riedmiller (2011) Distributed Policy Search Reinforcement Learning for Job-Shop Scheduling Tasks. TPRS International Journal of Production Research 50 (1) pp. available online from May 2011. Taylor & Francis. Bibtex
  • Roland Hafner, Martin Riedmiller (2011) Reinforcement learning in feedback control. Machine Learning 27 (1) pp. 55–74. available online at http://dx.doi.org/10.1007/s10994-011-5235-x or upon request at riedmiller@informatik.uni-freiburg.de. Springer Netherlands. web Bibtex
  • Manuel Blum, Jost Tobias Springenberg, Jan Wülfing, Martin Riedmiller (2011) On the Applicability of Unsupervised Feature Learning for Object Recognition in RGB-D Data. In NIPS Workshop on Deep Learning and Unsupervised Feature Learning. Granada, Spain. PDF Bibtex
  • Roland Hafner, Martin Riedmiller (2011) Learning (Near) Time Optimal Control for Flexible Robot Joints. In Workshop on Comparison of Reinforcement Learning and Optimal Control Methods for Real-World Robotic Tasks, RSS 2011. Los Angeles, CA. PDF Bibtex
  • S. Lange, T. Gabel, M. Riedmiller (2011) Batch Reinforcement Learning. In Reinforcement Learning: State of the Art. Springer, in press. PDF Bibtex
  • Manuel Blum, Martin Riedmiller (2011) Q-function Approximation in Batch Mode Reinforcement Learning. In International Workshop on Bio-Inspired Robots. Bibtex

2010

  • Martin Lauer, Roland Hafner, Sascha Lange, Martin Riedmiller (2010) Cognitive concepts in autonomous soccer playing robots. Cognitive Systems Research 11 (3) pp. 287-309. doi web PDF Bibtex
  • Thomas Gabel, Martin Riedmiller (2010) On Progress in RoboCup: The Simulation League Showcase. In RoboCup 2010: Robot Soccer World Cup XIV, LNCS. Springer. Singapore. web PDF Bibtex
  • Sascha Lange, Martin Riedmiller (2010) Deep Learning of Visual Control Policies. In European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2010). Brugge, Belgium. PDF Bibtex
  • Sascha Lange, Martin Riedmiller (2010) Deep Auto-Encoder Neural Networks in Reinforcement Learning. In International Joint Conference on Neural Networks (IJCNN 2010). Barcelona, Spain. PDF Bibtex
  • Sascha Lange, Martin Riedmiller (2010) A Vision for Reinforcement Learning and its Implications for Neural Computation. In NC2 Workshop, German Conference on Artificial Intelligence (KI2010), accepted. Karlsruhe, Germany. PDF Bibtex

2009

  • T. Kietzmann, M. Riedmiller (Dec 2009) The Neuro Slot Car Racer: Reinforcement Learning in a Real World Setting. In Proceedings of the Int. Conference on Machine Learning Applications (ICMLA09). Springer. Miami, Florida. PDF Bibtex
  • M. Riedmiller, T. Gabel, R. Hafner, S. Lange (2009) Reinforcement Learning for Robot Soccer. Autonomous Robots 27 (1) pp. 55–74. Springer. PDF Bibtex
  • T. Kietzmann, S. Lange, M. Riedmiller (2009) Computational Object Recognition: A Biologically Motivated Approach. Biological Cybernetics 100 (1) pp. 55–73. IEEE Press. PDF Bibtex
  • S. Timmer, M. Riedmiller (2009) Efficient Identification of State in Reinforcement Learning. Künstliche Intelligenz BöttcherIT Verlag. Bibtex
  • Martin Lauer, Martin Riedmiller (2009) Participating in Autonomous Robot Competitions: Experiences from a Robot Soccer Team. Bibtex

2008

  • T. Gabel, M. Riedmiller (September 2008) Joint Equilibrium Policy Search for Multi-Agent Scheduling Problems. In Proceedings of the 6th Conference on Multiagent System Technologies (MATES 2008). Springer. Kaiserslautern. PDF Bibtex
  • T. Gabel, M. Riedmiller (September 2008) Gradient-Descent Policy Search for Job-Shop Scheduling Problems. In Online Proceedings of the 18th International Conference on Automated Planning and Scheduling (ICAPS 2008). AAAI Press. Sydney, Australia. Bibtex
  • Thomas. Gabel., Martin Riedmiller (June 2008) Evaluation of Batch-Mode Reinforcement Learning for Solving DEC-MDPs with Changing Action Sets. In Proceedings of the 8th Biennial European Workshop on Reinforcement Learning (EWRL 2008). Springer. Lille, France. Bibtex
  • T. Kietzmann, S. Lange, M. Riedmiller (2008) Incremental GRLVQ: Learning Relevant Features for 3D Object Recognition. Neurocomputing 71 (13-15) pp. 2868–2879. Elsevier. PDF Bibtex
  • S. Riedmiller, M. Riedmiller (2008) Konzepte und Anwendungen lernf{ä}higer Systeme. Medizinisch Orthop”adische Technik 5 (December) Verlagsgesellschaft Tischler GmbH. Bibtex
  • T. Gabel, M. Riedmiller (2008) Increasing Precision of Credible Case-Based Inference. In Proceedings of the 9th European Conference on Case-Based Reasoning (ECCBR 2008). Springer. Trier, Germany. PDF Bibtex
  • Thomas Gabel, Martin Riedmiller (2008) Reinforcement Learning for DEC-MDPs with Changing Action Sets and Partially Ordered Dependencies. In {Proceedings of the 7th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2008)}. Springer. Estoril, Portugal. PDF Bibtex
  • Thomas Gabel, Martin Riedmiller, Florian Trost (2008) A Case Study on Improving Defense Behavior in Soccer Simulation 2D: The NeuroHassle Approach. In RoboCup 2008: Robot Soccer World Cup XII, LNCS. Springer. Shouzou, China. PDF Bibtex
  • Martin Riedmiller, Roland Hafner, Sascha Lange, Martin Lauer (2008) Learning to Dribble on a Real Robot by Success and Failure. In Proceedings of the 2008 International Conference on Robotics and Automation (ICRA 2008). Springer. Pasadena CA. Bibtex

2007

  • Thomas Gabel, Martin Riedmiller (2007) An Analysis of Case-Based Value Function Approximation by Approximating State Transition Graphs. In Proceedings of the 7th International Conference on Case-Based Reasoning (ICCBR 2007). Springer. Belfast, UK. PDF Bibtex
  • Heiko Müller, Martin Lauer, Roland Hafner, Sascha Lange, Martin Riedmiller (2007) Making a Robot Learn to Play Soccer Using Reward and Punishment. In Proceedings of the German Conference on Artificial Intelligence, KI 2007. Osnabrück Germany. Bibtex
  • Stephan Timmer, Martin Riedmiller (2007) Safe Q-Learning on Complete History Spaces. In Proceedings of the 18th European Conference on Machine Learning, ECML 07. Springer. Warsaw, Poland. Bibtex
  • Martin Riedmiller, Mike Montemerlo, Hendrik Dahlkamp (2007) Learning to Drive in 20 Minutes. In Proceedings of the FBIT 2007 conference.. Springer. Jeju, Korea. PDF Bibtex
  • T. Gabel, M. Riedmiller (2007) Adaptive Reactive Job-Shop Scheduling with Reinforcement Learning Agents. International Journal of Information Technology and Intelligent Computing 24 (4) IEEE Press. PDF Bibtex
  • Arne Voigtländer, Sascha Lange, Martin Lauer, Martin Riedmiller (2007) Real-time 3D Ball Recognition using Perspective and Catadioptric Cameras. In Proceedings of the European Conference on Mobile Robots ECMR 2007. Freiburg Germany. Bibtex
  • Roland Hafner, Martin Riedmiller (2007) Neural Reinforcement Learning Controllers for a Real Robot Application. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 07). Rome, Italy. Bibtex
  • T. Gabel, M. Riedmiller (2007) Scaling Adaptive Agent-Based Reactive Job-Shop Scheduling to Large-Scale Problems. In Proceedings of the IEEE Symposium on Computational Intelligence in Scheduling (CI-Sched 2007). Honolulu, USA. PDF Bibtex
  • T. Gabel, M. Riedmiller (2007) On Experiences in a Complex and Competitive Gaming Domain: Reinforcement Learning Meets RoboCup. In Proceedings of the IEEE Symposium on Computational Intelligence and Games (CIG 2007). Honolulu, USA. PDF Bibtex
  • S. Timmer, M. Riedmiller (2007) Fitted Q Iteration with CMACs. In Proceedings of the IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning (ADPRL 07). Honolulu, USA. Bibtex
  • Martin Riedmiller, Jan Peters, Stefan Schaal (2007) Evaluation of Policy Gradient Methods and Variants on the Cart-Pole Benchmark. In Proceedings of the IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning (ADPRL 07). Honolulu, USA. Bibtex
  • T. Gabel, M. Riedmiller (2007) On a Successful Application of Multi-Agent Reinforcement Learning to Operations Research Benchmarks. In Proceedings of the IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning (ADPRL 07). Honolulu, USA. PDF Bibtex

2006

  • T. Gabel, M. Riedmiller (2006) Learning a Partial Behavior for a competitive Soccer Agent. K{ü}nstliche Intelligenz 2 pp. 18-23. Springer. PDF Bibtex
  • M. Riedmiller, T. Gabel, R. Hafner, S. Lange, M. Lauer (2006) Die Brainstormers: Entwurfsprinzipien lernf{ä}higer autonomer Roboter. Informatik-Spektrum 20(3) pp. 175-190. Springer. Bibtex
  • M. Lauer, S. Lange, M. Riedmiller (2006) Motion Estimation of Moving Objects for Autonomous mobile Robots. Künstliche Intelligenz 1 pp. 11-17. Springer. Bibtex
  • T. Gabel, M. Riedmiller (2006) Multi-Agent Case-Based Reasoning for Cooperative Reinforcement Learners. In In Proceedings of the 8th European Conference on Case-Based Reasoning (ECCBR 2006). Fethiye, Turkey. PDF Bibtex
  • S. Lange, M. Riedmiller (2006) Appearance Based Robot Discrimination using Eigenimages. In In Proceedings of the RoboCup Symposium 2006. Bremen, Germany. Bibtex
  • T. Gabel, M. Riedmiller (2006) Reducing Policy Degradation in Neuro-Dynamic Programming. In In Proceedings of the 11th European Symposium on Artificial Neural Networks (ESANN 2006). Bruges, Belgium. PDF Bibtex
  • S. Timmer, M. Riedmiller (2006) Abstract State Spaces with History. In Proceedings of the NAFIPS Conference, the North American Fuzzy Information Processing Society, Montreal, Canada. Bibtex
  • T. Gabel, R. Hafner, S. Lange, M. Lauer, M. Riedmiller (2006) Bridging the Gap: Learning in the RoboCup Simulation and Midsize League. In Proceedings of the 7th Portuguese Conference on Automatic Control (Controlo 2006). Portuguese Society of Automatic Control. Porto, Portugal. PDF Bibtex

2005

  • D. Withopf, M. Riedmiller (October 2005) Comparing Different Methods to Speed-Up Reinforcement Learning in a Complex Domain. In Proc. of the Int. Conference on Systems, Man and Cybernetics, 2005. Big Island, USA. Bibtex
  • S. Timmer, M. Riedmiller (October 2005) Learning Policies for Abstract States. In Proc. of the Int. Conference on Systems, Man and Cybernetics, 2005. Big Island, USA. Bibtex
  • M. Riedmiller (October 2005) Neural Fitted Q Iteration - First experiences with a data efficient neural Reinforcement Learning Method. In Lecture Notes in Computer Science: Proc. of the European Conference on Machine Learning, ECML 2005. pp. 317-328. Porto, Portugal. PDF Bibtex
  • M. Riedmiller (October 2005) Neural Reinforcement Learning to Swing-Up and Balance a Real Pole. In Proc. of the Int. Conference on Systems, Man and Cybernetics, 2005. Big Island, USA. PDF Bibtex
  • T. Gabel, M. Riedmiller (August 2005) CBR for State Value Function Approximation in Reinforcement Learning. In Proceedings of the International Conference on Case Based Reasoning 2005 (ICCBR 2005). Springer. Chicago, USA. PDF Bibtex
  • D. Withopf, M. Riedmiller (2005) Effective Methods for Reinforcement Learning in Large Multi-Agent Domains. it - Information Technology Journal 5 (47) pp. 241-249. Oldenbourg. Bibtex
  • R. Hafner, M.Riedmiller (2005) Case study: control of a real world system in CLSquare. In Proceedings of the NIPS Workshop on Reinforcement Learning Comparisons, Whistler, British Columbia, Canada. Bibtex
  • M. Lauer, S. Lange, M. Riedmiller (2005) Calculating the Perfect Match: An Efficient and Accurate Approach for Robot Self-Localisation. In RoboCup-2005: Robot Soccer World Cup IX, LNCS. Springer. Bibtex
  • A. Sung, A. Merke, M. Riedmiller (2005) Reinforcement Learning using a Grid-Based Function Approximator. In Biomimetic Neural Learning for Intelligent Robots. Bibtex

2004

  • M. Riedmiller (September 2004) Machine Learning for Autonomous Robots. Keynote Speech.. In Proceedings of the KI '04, Ulm, Germany. Bibtex
  • R. Schoknecht, M. Spott, M. Riedmiller (May 2004) textsc{Fynesse}: An Architecture for Integrating Prior Knowledge in Autonomously Learning Agents. Soft Computing 8 (6) pp. 397-408. Springer. Bibtex
  • Enrico Pagello, Emanuele Menegatti, Daniel Polani, Ansgar Bredenfel, Paulo Costa, Thomas Christaller, Adam Jacoff, Martin Riedmiller, Alessandro Saffiotti, Elizabeth Sklar, Takashi Tomoichi (2004) RoboCup-2003: New Scientific and Technical Advances. AI Magazine American Association for Artificial Intelligence (AAAI). Bibtex
  • M. Lauer, M. Riedmiller (2004) Reinforcement Learning for Stochastic Cooperative Multi-Agent Systems. In Proceedings of the AAMAS '04, New York. Bibtex
  • A. Merke, S. Welker, M. Riedmiller (2004) Line Base Robot Localisation under Natural Light Conditions. In ECAI Workshop on Agents in Dynamic and Real-Time Environments. Bibtex
  • S. Lange, M. Riedmiller (2004) Evolution of Computer Vision Subsystems in Robot Navigation and Image Classification Tasks. In RoboCup-2004: Robot Soccer World Cup VIII, LNCS. Springer. Bibtex

2003

  • R. Schoknecht, M. Riedmiller (November 2003) Reinforcement Learning on Explicitly Specified Time-scales. Neural Computing & Applications 12 (2) pp. 61-80. Springer. Bibtex
  • M. Arbatzat, S. Freitag, M. Fricke, R. Hafner, C. Heermann, K. Hegelich, A. Krause, J. Krüger, M. Lauer, M. Lewandowski, A. Merke, H. Müller, M. Riedmiller, J. Schanko, M. Schulte-Hobein, M. Theile, S. Welker, D. Withopf (2003) Creating a Robot Soccer Team from Scratch: the Brainstormers Tribots. In CD attached to Robocup 2003 Proceedings, Padua, Italy. Bibtex
  • M. Riedmiller, A. Merke, W. Nowak, M. Nickschas, D. Withopf (2003) Brainstormers 2003 - Team Description. In CD attached to Robocup 2003 Proceedings, Padua, Italy. Bibtex
  • Roland Hafner, Martin Riedmiller (2003) Reinforcement Learning on an omnidirectional mobile robot. In Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003), Las Vegas. Bibtex
  • R. Schoknecht, M. Riedmiller (2003) Learning to Control at Multiple Time Scales. In Proceedings of the Thirteenth International Conference on Artificial Neural Networks (ICANN). pp. 479–487. Springer. Bibtex
  • Martin Lauer, Martin Riedmiller, Thomas Ragg, Walter Baum, Michael Wigbers (2003) The Smaller the Better: Comparison of Two Approaches for Sales Rate Prediction. In Advances in Intelligent Data Analysis V. pp. 451-461. Springer. Bibtex
  • M. Riedmiller, A. Merke (2003) Using machine learning techniques in complex multi-agent domains. In Adaptivity and Learning. Springer. Bibtex

2002

  • R. Schoknecht, M. Riedmiller (2002) Speeding up Reinforcement Learning with Multi-Step Actions. In Proceedings of International Conference on Artificial Neuraln Networks, ICANN'02. Madrid, Spain. Bibtex
  • M. Lauer, M. Riedmiller (2002) Generalisation in Reinforcement Learning and the Use of Observation-Based Learning. In Proceedings of the FGML Workshop 2002. pp. 100-107. Bibtex

2001

  • R. Schoknecht, M. Riedmiller (2001) Using Multi-step Actions for Faster Reinforcement Learning. In Fifth European Workshop on Reinforcement Learning. Bibtex
  • W. Hunger, M. Riedmiller (2001) Scheduling with adaptive agents - an empirical evaluation. In Fifth European Workshop on Reinforcement Learning. Bibtex
  • A. Merke, M. Riedmiller (2001) Karlsruhe Brainstormers - A Reinforcement Learning Way to Robotic Soccer II. In RoboCup-2001: Robot Soccer World Cup V, LNCS. pp. 322-327. Springer. Bibtex
  • Martin Riedmiller (2001) Wie {R}oboter von {G}ehirnen lernen. In Kosmos Gehirn. BMBF. Bibtex
  • Martin Riedmiller, Andrew Moore, Jeff Schneider (2001) Reinforcement Learning for Cooperating and Communicating Reactive Agents in Electrical Power Grids. In Balancing Reactivity and Social Deliberation in Multi-agent Systems. pp. 137-149. Springer, LNAI 2103. Bibtex

2000

  • M. Riedmiller (2000) Concepts and facilities of a neural reinforcement learning control architecture for technical process control. Neural Computing & Applications 8 pp. 323-338. Springer. Bibtex
  • M. Riedmiller, A. Merke, D. Meier, A. Hoffmann, A. Sinner, O. Thate, C. Kill, R. Ehrmann (2000) Karlsruhe Brainstormers - A Reinforcement Learning Way to Robotic Soccer. In RoboCup-2000: Robot Soccer World Cup IV, LNCS. Springer. Bibtex
  • S. Buck, M. Riedmiller (2000) Learning Situation Dependent Sucess Rates Of Actions In A RoboCup Scenario. In Proceedings of PRICAI '00. pp. 809. Melbourne, Australia. Bibtex
  • M. Lauer, M. Riedmiller (2000) An Algorithm for Distributed Reinforcement Learning in Cooperative Multi-Agent Systems. In Proceedings of International Conference on Machine Learning, ICML '00. pp. 535-542. Stanford, CA. Bibtex
  • R. Schoknecht, M. Spott, M. Riedmiller (2000) Design of self-learning controllers using { sc Fynesse}. In Deep Fusion of Computational and Symbolic Processing. Physica. Bibtex

1999

  • M. Spott, R. Schoknecht, M. Riedmiller (1999) Approaches for the integration of a priori knowledge into an autonomously learning control architecture.. In Proc. of EUFIT99. Aachen, Germany. Bibtex
  • J. Schneider, W. Wong, A. Moore, M. Riedmiller (1999) Distributed Value Functions. In Proceedings of International Conference on Machine Learning, ICML'99. pp. 371-378. Bled, Slovenia. Bibtex
  • R. Schoknecht, M. Spott, F. Liekweg, M. Riedmiller (1999) Search Space Reduction for Strategy Learning in Sequential Decision Processes. In Proceedings of the International Conference on Neural Information Processing (ICONIP '99). Perth, Australia. Bibtex
  • M. Riedmiller, S. Buck, A. Merke, R. Ehrmann, O. Thate, S. Dilger, A. Sinner, A. Hofmann, L. Frommberger (1999) Karlsruhe Brainstormers - Design Principles. In RoboCup-1999: Robot Soccer World Cup III, LNCS. Springer. Bibtex
  • R. Schoknecht, M. Riedmiller (1999) Using reinforcement learning for engine control. In Proceedings of International Conference on Artificial Neuraln Networks, ICANN'99. Edinburgh. Bibtex
  • T. Gaul, M. Spott, M. Riedmiller, R. Schoknecht (1999) Fuzzy-Neuro-Controlled Verified Instruction Scheduler. In Conference-Proceedings. New York. Bibtex
  • S. Riedmiller, M. Riedmiller (1999) A neural reinforcement learning approach to learn local dispatching policies in production scheduling. In Proceedings of International Joint Conference on Artificial Intelligence, ICJAI'99. Stockholm. Bibtex
  • M. Riedmiller, M. Spott, J. Weisbrod (1999) Fynesse: A hybrid architecture for self-learning control. In Knowledge Based Neuro Computing. MIT Press. Bibtex

1998

  • R. Schoknecht, M. Spott, M Riedmiller (1998) Design of self-learning controllers using { sc Fynesse} (in German). In Fuzzy Karlsruhe '98. Karlsruhe. Bibtex
  • K. Santa, M. Mews, M. Riedmiller (1998) A Neural Approach for the Control of Piezoelectric Micromanipulation Robots. Journal of Intelligent and Robotic Systems 22 pp. 351-374. Bibtex
  • M. Riedmiller (1998) High quality thermostat control by reinforcement learning - a case study. In Proceedings of the Conald Workshop 1998. Carnegie-Mellon-University. Bibtex
  • M. Riedmiller, R. Schoknecht (1998) Self-learning controllers in automotive applications (in German). In Proceedings of VDI/GMA -Aussprachetag. Berlin. Bibtex
  • M. Spott, M. Riedmiller (1998) Improving a priori control knowledge by reinforcement learning. In Proceedings in Artificial Intelligence: Fuzzy-Neuro-Systems '98. pp. 146–153. infix Verlag. M{ü}nchen, Deutschland. Bibtex
  • M. Riedmiller (1998) Reinforcement learning without an explicit terminal state. In Proc. of the International Joint Conference on Neural Networks, IJCNN '98. Anchorage, Alaska. Bibtex

1997

  • M. Riedmiller, M. Wigbers (1997) A New Method for the Analysis of Neural Reference Model Control. In IEEE International Conference on Neural Networks ICNN;97. Huston, Texas. Bibtex
  • G. Goos, M. Spott, J. Weisbrod, M. Riedmiller (1997) Interpretation und {A}daption unscharfer {R}elationen innerhalb einer hybriden selbstlernenden {S}teuerungsarchitektur. In Proceedings in Artificial Intelligence: Fuzzy-Neuro-Systeme '97. pp. 332–339. infix Verlag. Soest, Deutschland. Bibtex
  • M. Riedmiller (1997) Generating continuous control signals for reinforcement controllers using dynamic output elements. In European Symposium on Artificial Neural Networks, ESANN'97. Bruges. Bibtex
  • M. Riedmiller, M. Spott, J. Weisbrod (1997) First Results on the Application of the Fynesse Control Architecture. In IEEE 1997 International Aerospace Conference. pp. 421–434. Aspen, USA. Bibtex
  • M. Riedmiller, S. Gutjahr, J. Klingemann (1997) Predicting exchange rates using neural networks. In Joint International Conference on Expert Systems (PACES/SPICES '97). Singapore. Bibtex
  • A. Stahlberger, M. Riedmiller (1997) Fast Network Pruning and Feature Extraction using the Unit-OBS Algorithm. In Advances in Neural Information Processing Systems 9. MIT Press. Bibtex

1996

  • M. Riedmiller (1996) Application of sequential reinforcement learning to control dynamic systems. In IEEE Intenational Conference on Neural Networks (ICNN '96). Washington. Bibtex
  • M. Riedmiller (1996) Learning to Control Dynamic Systems. In Proceedings of the 13th. European Meeting on Cybernetics and Systems Research - 1996 (EMCSR '96). Vienna. Bibtex
  • M. Riedmiller (1996) Selbständig lernende neuronale Steuerungen. VDI-Verlag. Bibtex

1995

  • M. Riedmiller, B. Janusz (1995) Using Neural Reinforcement Controllers in Robotics. In Proceedings of the 8th. Australian Conference on Artificial Intelligence (AI '95). World Scientific Publishing. Singapore. Bibtex
  • M. Riedmiller, B. Janusz (1995) Self learning control of a mobile robot. In Proceedings of the IEEE ICNN '95. Perth, Australia. Bibtex
  • D. Koll, M. Riedmiller, H. Braun (1995) Massively Parallel Training of Multi Layer Perceptrons with Irregular Topologies. In Proceedings of the International Conference on Artificial Neural Networks and Genetic Algorithms ICANNGA95. Springer (Vienna). Ales, France. Bibtex

1994

  • M. Riedmiller (oct 1994) Aspects of Learning Neural Control. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. San Antonio, Texas. Bibtex
  • M. Riedmiller (1994) Advanced Supervised Learning in Multi-layer Perceptrons - From Backpropagation to Adaptive Learning Algorithms. Int. Journal of Computer Standards and Interfaces 16 pp. 265-278. Bibtex

1993

  • M. Riedmiller (oct 1993) Controlling an Inverted Pendulum by Neural Plant Identification. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. Le Touquet. Bibtex
  • M. Riedmiller (sep 1993) Untersuchungen zu Konvergenz und Generalisierungsverhalten überwachter Lernverfahren mit dem SNNS. In SNNS 1993 Workshop-Proceedings. pp. 107 - 116. Stuttgart. Bibtex
  • M. Riedmiller, H. Braun (1993) A Direct Adaptive Method for Faster Backpropagation Learning: The {RPROP} Algorithm. In Proceedings of the IEEE International Conference on Neural Networks (ICNN). pp. 586 - 591. San Francisco. Bibtex
  • M. Riedmiller, H. Braun (1993) {RPROP}: A Fast and Robust Backpropagation Learning Strategy. In Fourth Australian Conference on Neural Networks. pp. 169 - 172. Melbourne. Bibtex

1992

  • M. Riedmiller, H. Braun (1992) {RPROP}: A Fast Adaptive Learning Algorithm. In International Symposium on Computer and Information Science VII. pp. 279 - 286. Antalya, Turkey. Bibtex