Jan Peters

Publications

• Model-based Contextual Policy Search for Data-Efficient Generalization of Robot Skills (2017)
• Bayesian Optimization for Learning Gaits under Uncertainty (2016)
• Manifold Gaussian Processes for Regression (2016)
• Learning Inverse Dynamics Models with Contacts (2015)
• Learning Torque Control in Presence of Contacts using Tactile Sensing from Robot Skin (2015)
• An Experimental Evaluation of Bayesian Optimization on Bipedal Locomotion (2014)
• Bayesian Gait Optimization for Bipedal Locomotion (2014)
• Multi-Modal Filtering for Non-linear Estimation (2014)
• Multi-Task Policy Search for Robotics (2014)
• Pareto Front Modeling for Sensitivity Analysis in Multi-Objective Bayesian Optimization (2014)
• Policy Search For Learning Robot Control Using Sparse Data (2014)
• A Survey on Policy Search for Robotics (2013)
• Addressing the Correspondence Problem by Model-based Imitation Learning (2013)
• An Experimental Evaluation of Bayesian Optimization on Bipedal Locomotion (2013)
• Data-Efficient Generalization of Robot Skills with Contextual Policy Search (2013)
• Feedback Error Learning for Rhythmic Motor Primitives (2013)
• Hierarchical Learning of Motor Skills with Information-Theoretic Policy Search (2013)
• Imitation Learning by Model-based Probabilistic Trajectory Matching (2013)
• Model-based Imitation Learning by Probabilistic Trajectory Matching (2013)
• Probabilistic Model-based Imitation Learning (2013)
• Probabilistic Movement Modeling for Intention-based Decision Making (2013)
• Autonomous Planning and Control with Bayesian Nonparametric Models (2012)
• Probabilistic Modeling of Human Dynamics for Intention Inference (2012)
• Proceedings of the 10th European Workshop on Reinforcement Learning (2012)
• Solving Nonlinear Continuous State-Action-Observation POMDPs for Mechanical Systems with Gaussian Noise (2012)
• Toward Fast Policy Search for Learning Legged Locomotion (2012)
• Gaussian Process Dynamic Programming (2009)
• Approximate Dynamic Programming with Gaussian Processes (2008)
• Model-Based Reinforcement Learning with Continuous States and Actions (2008)