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Approximate Inference for Long-Term Forecasting with Periodic Gaussian Processes

Nooshin HajiGhassemi, Marc P. Deisenroth

Bayesian Gait Optimization for Bipedal Locomotion

Roberto Calandra, Nakul Gopalan, André Seyfarth, Jan Peters, Marc P. Deisenroth

Model-based Inverse Reinforcement Learning

Arunkumar Byravan, Diete Fox, Marc P. Deisenroth

Multi-Modal Filtering for Non-linear Estimation

Sanket Kamthe, Jan Peters, Marc P. Deisenroth

Multi-Task Policy Search for Robotics

Marc P. Deisenroth, Peter Englert, Jan Peters, Dieter Fox

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

Roberto Calandra, Jan Peters, Marc P. 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 P. Deisenroth

Addressing the Correspondence Problem by Model-based Imitation Learning

Peter Englert, Alexandros Paraschos, Jan Peters, Marc P. Deisenroth

An Experimental Evaluation of Bayesian Optimization on Bipedal Locomotion

Roberto Calandra, Jan Peters, André Seyfarth, Marc P. Deisenroth

Data-Efficient Generalization of Robot Skills with Contextual Policy Search

Andras Kupcsik, Marc P. Deisenroth, Jan Peters, Gerhard Neumann