Offered Master- and Bachelors Theses

We are always searching for good students and have many good opportunities. However, we are also open to suggestions by students as long as they touch the topics relevant to intelligent systems.

> Click here for Offered Topics / Angebotene Themen <

Note: These are only for TU Darmstadt students. Please contact Jan Peters ( or any other Team Member for more information.

Ongoing

Ongoing B.Sc. and M.Sc. Theses / B.Sc. und M.Sc. Theme in Bearbeitung

StudentAdvisorTypeTopic
Viktor PfanschillingElmar RueckertB.Sc.Genetic Reactive Programming
Denny DittmarElmar RueckertM.Sc.Neural Policy Search
Jialiang GaoElmar RueckertM.Sc.Stochastic Optimal Control of Humanoid Robots in multi-contact environments
Simon ThiemElmar RueckertB.Sc.Deep Neural Networks for Controlling Humanoids
Sonja HanekElmar RückertB.Sc.Multi-Scale Latent Modelling of the HuMoD database
Sanket ShindeJoni Pajarinen,Gerhard NeumannM.Sc.POMDPs with discrete and continuous observations for robotics
Robert PinslerGerhard Neumann, Riad Akrour, Takayuki OsaM.Sc.Learning Grasping Policies with Neural Network
Janine HölscherJoni Pajarinen, Dorothea KoertM.Sc.Interactive Planning under Uncertainty
Hong Linh ThaiJoni Pajarinen, Gerhard NeumannM.Sc.Guided Deep Learning for POMDPs
Jonas MantelMarco EwertonB.Sc.Learning from Unlabeled and Incomplete Demonstrations Executed at Different Speeds
Kaushik GondaliyaElmar Rueckert, Jan Peters,M.Sc.Learning to Categorize Issues in Distributed Bug Tracker Systems
Manuel BiedSimon Manschitz, Jan Peters, Heinz KoepplM.Sc.Learning Sequential Skills for Bi-Manual Manipulation Tasks
Idris NematpurOleg Arenz, Riad Akrour, Guilherme MaedaB.Sc.Jointly Learning from Demonstrations and Human Preferences On Non-Linear Systems
Moritz NakatenusElmar RueckertM.Sc.LSTM Networks for movement planning in humanoids
Pavan GadiyaJan PetersM.Sc.Large Scale Real-Time Data Analytics Platform for Energy Exchange
Nadine WeibrechtJan PetersB.Sc.Auswertung von Sensordaten mit Machine Learning Algorithmen
Markus SemmlerRiad AkrourB.Sc.Memory-Based Deep Exploration
Claudia LölkesMarco Ewerton, Svenja Stark, Guilherme MaedaB.Sc.Incremental Imitation Learning with Bayesian Optimization
Parvez AhmadJan PetersB.Sc.Analysis of Financial Big Data using Machine Learning and Graph Processing

Ongoing IP Projects

TopicStudentsAdvisor
Learn an Assembling Task with Swarm RobotsKevin Daun, Marius SchnaubeltGregor Gebhardt
Online Dynamic Model LearningPascal KlinkAlexandros Paraschos
Bayesian Deep Reinforcement Learning -Tools and Methods-Simon RamstedtSimone Parisi
Learning Deep Feature Spaces for Nonparametric InferencePhilipp BeckerGregor Gebhardt
Learn intuitive physics from videosYunlong Song, Rong ZhiBoris Belousov
Teaching People how to Write Japanese CharactersDavid Rother, Jakob Weimar, Lars LotterMarco Ewerton
Optimal Control for Biped LocomotionMartin Seiler, Max KreischerHany Abdulsamad
Semi-Autonomous Tele-OperationNick Heppert, Marius, Jeremy TschirnerOleg Arenz
ProbS + SLDSMaximilian Sieb, Sebastian Szelag, Matthias SchultheisRudolf Lioutikov
Local Bayesian OptimizationDmitry SorokinRiad Akrour
Controlled Slip for Object ReleaseMaja Nöll, Steffen Kuchelmeister, Albert Schotschneider Filipe Veiga

Completed

The Theses lists include only TU Darmstadt Theses and the Theses of IAS members from before the move to TU Darmstadt are listed.

Completed PhD Theses

Calandra, R. (2016). Bayesian Modeling for Optimization and Control in Robotics, PhD Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Daniel, C. (2016). Learning Hierarchical Policies from Human Feedback, PhD Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

van Hoof, H. (2016). Machine Learning through Exploration for Perception-Driven Robotics, PhD Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kroemer, O. (2015). Machine Learning for Robot Grasping and Manipulation, PhD Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Muelling, K. (2013). Modeling and Learning of Complex Motor Tasks: A Case Study with Robot Table Tennis, PhD Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Wang, Z. (2013). Intention Inference and Decision Making with Hierarchical Gaussian Process Dynamics Model, PhD Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kober, J. (2012). Learning Motor Skills: From Algorithms to Robot Experiments, PhD Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Nguyen-Tuong, D (2011). Model Learning in Robot Control, PhD Thesis (Completed at IAS/Tuebingen before move to TU Darmstadt).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Completed Master Theses

Sharma, D. (2017). Adaptive Training Strategies for Brain Computer Interfaces, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Abbenseth, J. (2016). Cooperative Path-Planning for Service Robots, Master Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Abdulsamad, H. (2016). Stochastic Optimal Control with Linearized Dynamics, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Achieser, I. (2016). Potential evaluation of eye- and headtracking data as a robust and real-time capable predictor for driver intention detection and integration into an algorithm for maneuver prediction, Master Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Belousov, B. (2016). Optimal Control of Ball Catching, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Hüttenrauch, M. (2016). Guided Deep Reinforcement Learning for Robot Swarms, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Hesse, T. (2016). Learning a Filter for Noise Attenuation in EEG Data for Brain-Computer Interfaces, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Koert, D. (2016). Combining Human Demonstrations and Motion Planning for Movement Primitive Optimization, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kohlschuetter, J. (2016). Learning Probabilistic Classifiers from Electromyography Data for Predicting Knee Abnormalities, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Luck, K. (2016). Multi-Group Factor Extension of the GrouPS algorithm and Real-World Robot Learning, Master Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Schuster, R. (2016). 3D Object Proposals from Stereo and Optical Flow, Master Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Stapf, E. (2016). Predicting Traffic Flows for Traffic Engineering in Software-Defined Networks, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Stark, S. (2016). Learning Probabilistic Feedforward and Feedback Policies for Generating Stable Walking Behaviors, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Wilbers, D. (2016). Context-driven Movement Primitive Adaptation, Master Thesis, IAS, TU Darmstadt.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Novoty, M. (2015). Application of Decision-Support Technologies for an Autonomous Evasion System for UAVs, Master Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Tanneberg, D. (2015). Spiking Neural Networks Solve Robot Planning Problems, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Vandommele, T. (2015). Entwicklung eines Algorithmus zur Klassifikation von Schläfrigkeit durch videobasierte Fahrerbeobachtung, Master Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Wieland, A. (2015). Probabilistic Methods for Forecasting of Electric Load Profiles, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Arenz, O. (2014). Feature Extraction for Inverse Reinforcement Learning, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Barnikol, S. (2014). Machine Learning for Active Gait Support with a Powered Ankle Prosthesis, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Chebotar, Y. (2014). Learning Robot Tactile Sensing for Object Manipulation, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Dann, C. (2014). Value-Function-Based Reinforcement Learning with Temporal Differences, Masters Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Ewerton, M. (2014). Modeling Human-Robot Interaction with Probabilistic Movement Representations, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Gebhardt, G. H. W. (2014). Embedding Kalman Filters into Reproducing Kernel Hilbert Spaces, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kamthe, S. (2014). Multi-modal Inference in Time Series, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Manschitz, S. (2014). Learning Sequential Skills for Robot Manipulation Tasks, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Merfels, C. (2014). Large-scale probabilistic feature mapping and tracking for autonomous driving, Masters Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Mindt, M. (2014). Probabilistic Inference for Movement Planning in Humanoids, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Mundo, J. (2014). Extracting Low-Dimensional Control Variables for Movement Primitives, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Reubold, J. (2014). 3D Object Reconstruction from Partial Views, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Ringwald, J. (2014). Combination of Movement Primitives for Robotics, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Zeiss, S. (2014). Manipulation Skill for Robotic Assembly, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Englert, P. (2013). Model-based Imitation Learning by Probabilistic Trajectory Matching, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Haji Ghasemi, N. (2013). Approximate Gaussian Process Inference with Periodic Kernels, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Lioutikov, R. (2013). Learning time-dependent feedback policies with model-based policy search, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Schmitt, F. (2013). Probabilistic Nonlinear Model Predictive Control based on Pontryagin`s Minimum Principle, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Daniel, C. (2012). Hierarchical Relative Entropy Policy Search, Masters Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Gopalan, N. (2012). Feedback Error Learning for Gait Acquisition, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Zhou, R. (2012). Free Space Detection Based On Occupancy Gridmaps, Masters Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Muelling, K. (2009). Modeling Human Table Tennis, MSc Thesis (Completed at IAS/Tuebingen before move to TU Darmstadt) .   See Details [Details]   BibTeX Reference [BibTex]

Kober, J. (2008). Reinforcement Learning for Motor Primitives, MSc Thesis (Completed at IAS/Tuebingen before move to TU Darmstadt) .   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Completed Bachelor Theses

Fiebig, K.-H. (2017). Multi-Task Logistic Regression in Brain-Computer Interfaces, Bachelor Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Harun Polat (2017). Nonparametric deep neural networks for movement planning, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Plage, L. M. (2016). Reinforcement Learning for tactile-based finger gaiting, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Alte, D. (2016). Control of a robotic arm using a low-cost BCI, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Grossberger, L. (2016). Towards a low-cost cognitive Brain-Computer Interface for Patients with Amyotrophic Lateral Sclerosis, Bachelor Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Klink, P (2016). Model Learning for Probabilistic Movement Primitives, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Marg, V. (2016). Reinforcement Learning for a Dexterous Manipulation Task, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Nakatenus, M. (2016). Multi-Agent Reinforcement Learning Algorithms, Bachelor Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Palenicek, D. (2016). Reinforcement Learning for Mobile Missile Launching, Bachelor Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Ramstedt, S. (2016). Deep Reinforcement Learning with Continuous Actions, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Schultheis, M. (2016). Learning Priors for Error-related Decoding in EEG data for Brain-Computer Interfacing, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Unverzagt, F.T. (2016). Modeling Robustness for Multi-Objective Optimization, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Alexev, S. (2015). Reinforcement Learning für eine mobile Raketenabschußplattform, Bachelor Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Berninger K. (2015). Hierarchical Policy Search Algorithms, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Blank, A. (2015). Learning a State Representation for a Game Agent’s Reactive Behaviour, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

End, F. (2015). Learning Versatile Solutions with Policy Search, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Mayer C. (2015). Learning to Sequence Movement Primitives for Rhythmic Tasks, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Schaefer, A. (2015). Prediction of Finger Flexion from ECoG Data with a Deep Neural Network, Bachelor Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Amend, S. (2014). Feature Extraction for Policy Search, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Brandl, S. (2014). Learning to Pour Using Warped Features, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Hesse, T. (2014). Spectral Learning of Hidden Markov Models, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Hochlaender, A. (2014). Deep Learning for Reinforcement Learning in Pacman, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Hoelscher, J. (2014). Tactile Exploration of Object Properties, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Huhnstock, N. (2014). Tactile Sensing for Manipulation, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Laux, M. (2014). Online Feature Learning for Reinforcement Learning, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Luck, K. (2014). Latent Space Reinforcement Learning, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Mattmann, A. (2014). Modeling How To Catch Flying Objects: Optimality Vs. Heuristics, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Schroecker, Y. (2014). Artificial Curiosity for Motor Skill Learning, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Smyk, M. (2014). Learning Generalizable Models for Compliant Robots, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Thai, H.L. (2014). Laplacian Mesh Editing for Interaction Learning, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

von Willig, J. (2014). Reinforcement Learning for Heros of Newerth, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Notz, D. (2013). Reinforcement Learning for Planning in High-Dimensional Domains, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Pfretzschner, B. (2013). Autonomous Car Driving using a Low-Cost On-Board Computer, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Schoengen, S. (2013). Visual feature learning for interactive segmentation, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Distler, M. (2012). Koennen Lernalgorithmen interagieren aehnlich wie im Gehirn?, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Hensch, P. (2012). Comparing Reinforcement Learning Algorithms on Tic-Tac-Toe, Bachelor Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Hess, S. (2012). Levitation Sphere, Bachelor Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Sharma, D. (2012). Combining Reinforcement Learning and Feature Extraction, Bachelor Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Zimpfer, A. (2012). Vergleich verschiedener Lernalgorithmen auf einem USB-Missilelauncher, Bachelor Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Honors Theses and Advanced Design Projects

Smyk, M. (2016). Model-based Control and Planning on Real Robots, Honors Thesis.   See Details [Details]   BibTeX Reference [BibTex]

Koert, D. (2015). Inverse Kinematics for Optimal Human-Robot Collaboration, Honors Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Abdulsamad, H.; Buchholz, T.; Croon, T; El Khoury, M. (2014). Playing Tetherball with Compliant Robots, Advanced Design Project.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Ho, D.; Kisner, V. (2014). Trajectory Tracking Controller for a 4-DoF Flexible Joint Robotic Arm, Advanced Design Project.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Completed Seminar Theses

Alles, I (2012). Models for Biological Motor Control: Modules of Movements, Seminar Thesis, Proceedings of the Robot Learning Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Arenz, O. (2012). Extensive Games, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Arenz, O. (2013). Inverse Optimal Control, Seminar Thesis, Proceedings of the Robot Learning Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Dann, C. (2012). Algorithms for Fast Gradient Temporal Difference Learning, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Dittmar, D. (2013). Slice Sampling, Seminar Thesis, Proceedings of the Robot Learning Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Englert, P. (2012). Locally Weighted Learning, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Fischer, A. (2012). Inverse Reinforcement Learning, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Gabriel, A. (2012). An introduction to Structural Learning - A new approach in Reinforcement Learning, Seminar Thesis, Proceedings of the Robot Learning Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Glaser, C. (2012). Learning in Reality: A case study of Stanley, the robot that Won the DARPA Challenge, Seminar Thesis, Proceedings of the Robot Learning Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Goppalan, N. (2012). Gaussian Process Latent Variable Models for Dimensionality Reduction and Time Series Modeling, Seminar Thesis, Proceedings of the Robot Learning Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Graber, T. (2012). Models for Biological Motor Control: Optimality Principles, Seminar Thesis, Proceedings of the Robot Learning Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Hardock, S. (2012). Applications in Robot Helicopter Acrobatics, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Isaak, J. (2012). Interaction Learning, Seminar Thesis, Proceedings of the Robot Learning Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kruk, S. (2013). Planning with Multiple Agents, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kunz, F. (2013). An Introduction to Temporal Difference Learning, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kutschke, M. (2012). Imitation Learning, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Lioutikov, R. (2012). Machine learning and the brain, Seminar Thesis, Proceedings of the Robot Learning Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Mindt, M. (2012). Learning robot control, Seminar Thesis, Proceedings of the Robot Learning Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Mogk, R. (2012). Efficient Planning under Uncertainty with Macro-actions, Seminar Thesis, Proceedings of the Robot Learning Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Mueck, J. (2012). Learning physical Models of Robots, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Pignede, T. (2012). Evolution of Reinforcement Learning in Games or How to Win against Humans with Intelligent Agents, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Ploetz, T. (2012). Deterministic Approximation Methods in Bayesian Inference, Seminar Thesis, Proceedings of the Robot Learning Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Reubold, J. (2012). Kernel Descriptors in comparison with Hierarchical Matching Pursuit, Seminar Thesis, Proceedings of the Robot Learning Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Schnell, F. (2013). Hierarchical Reinforcement Learning in Robot Control, Seminar Thesis, Proceedings of the Robot Learning Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Schoenberger, D. (2012). Planning in POMDPs, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Schroecker, Y. (2013). Planning for Relational Rules, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Stark, S. (2012). Do Reinforcement Learning Models Explain Neural Learning?, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Stein, A. (2013). Learning Robot Locomotion, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Swiezinski, L. (2013). Lifecycle of a Jeopardy Question Answered by Watson DeepQA, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Thiel, T. (2012). Learning in Robot Soccer, Seminar Thesis, Proceedings of the Robot Learning Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Tschirsich, M. (2013). Learning Robot Control, Seminar Thesis, Proceedings of the Robot Learning Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Viering, M. (2012). Hierarchical Reinforcement Learning in Robot Control, Seminar Thesis, Proceedings of the Robot Learning Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Will, K. (2013). Autonomous Chess-Playing, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Zoellner, M. (2013). Reinforcement Learning in Games, Seminar Thesis, Proceedings of the Autonomous Learning Systems Seminar.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Completed IP Projects

TopicStudentsAdvisor
Learning To Sequence Movement PrimitivesChristoph MayerChristian Daniel
Learning versatile solutions for Table TennisFelix EndGerhard Neumann Riad Akrour
Learning to Control Kilo-Bots with a FlashlightJianyang Tang,Tim Staschewski, Honggang GouGregor Gebhardt
Playing Badminton with RobotsElvir Sabic, Alexander WölkerBoris Belousov
Juggling with RobotsManuel Bied, Felix Treede, Felix PelsDorothea Koert
Learning and control for the bipedal walker FaBiManuel Bied, Felix Treede, Felix PelsRoberto Calandra
Finding visual kernelsFide Marten, Dominik DienlinHerke van Hoof
Feature Selection for Tetherball Robot GamesXuelei Li, Jan Christoph KlieSimone Parisi
Inverse Reinforcement Learning of Flocking BehaviourMaximilian Maag, Robert PinslerOleg Arenz
Control and Learning for a Bipedal RobotFelix Treede, Phillip Konow, Manuel BiedRoberto Calandra
Perceptual coupling with ProMPsJohannes Geisler, Emmanuel StapfAlexandros Paraschos
Learning to balance with the iCubMoritz Nakatenus, Jan GeukesRoberto Calandra
Generalizing Models for a Compliant RobotMike SmykHerke van Hoof
Learning Minigolf with the BioRobFlorian BrandhermMarco Ewerton
iCub TelecontrolLars Fritsche, Felix UnverzagtRoberto Calandra
REPS for maneuvering in RobocupJannick Abbenseth, Nicolai OmmerChristian Daniel
Learning Ball on a Beam on the KUKA lightweight armsBianca Loew, Daniel WilbertsChristian Daniel
Sequencing of DMPs for Task- and Motion PlanningMarkus Sigg, Fabian FallerRudolf Lioutikov
Tactile Exploration and MappingThomas Arnreich, Janine HoelscherTucker Hermans
Multiobjective Reinforcement Learning on Tetherball BioRobAlexander Blank, Tobias ViernickelSimone Parisi
Semi-supervised Active Grasp LearningSimon Leischnig, Stefan LüttgenOliver Kroemer

  

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