Paper-Conference

Multi-Task Policy Search for Robotics

Marc Deisenroth, Peter Englert, Jan Peters, Dieter Fox

Pareto Front Modeling for Sensitivity Analysis in Multi-Objective Bayesian Optimization

Roberto Calandra, Jan Peters, Marc Deisenroth

Policy Search For Learning Robot Control Using Sparse Data

Bastian Bischoff, Duy Nguyen-Tuong, Herke Van Hoof, Andrew McHutchon, Carl E. Rasmussen, Alois Knoll, Jan Peters, Marc Deisenroth

Time series segmentation of paleoclimate tipping points by an evolutionary algorithm

Maria Perez-Ortiz, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Martínez, Athanasia Nikolaou, Isabelle Dicaire, Francisco Fernández-Navarro

Addressing the Correspondence Problem by Model-based Imitation Learning

Peter Englert, Alexandros Paraschos, Jan Peters, Marc Deisenroth

An Experimental Evaluation of Bayesian Optimization on Bipedal Locomotion

Roberto Calandra, Jan Peters, André Seyfarth, Marc Deisenroth

An n-spheres based synthetic data generator for supervised classification

Javier Sánchez-Monedero, Pedro Antonio Gutiérrez, María Pérez-Ortiz, César Hervás-Martínez

Borderline kernel based over-sampling

María Pérez-Ortiz, Pedro Antonio Gutiérrez, César Hervás-Martínez

Data-Efficient Generalization of Robot Skills with Contextual Policy Search

Andras Kupcsik, Marc Deisenroth, Jan Peters, Gerhard Neumann

Feedback Error Learning for Rhythmic Motor Primitives

Nakul Gopalan, Marc Deisenroth, Jan Peters