Jan Peters

Latest

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