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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

Time series segmentation of paleoclimate tipping points by an evolutionary algorithm

M Pérez-Ortiz, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Martı́nez, Athanasia Nikolaou, Isabelle Dicaire, Francisco Fernández-Navarro

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