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Robotic systems must be able to quickly and robustly make decisions when operating in uncertain and dynamic environments.
Fourier analysis on groups
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Gaussian process priors with uncertain inputs application to multiple-step ahead time series forecasting
A. Girard, C.E. Rasmussen, J. Quinonero-Candela, and R. Murray-Smith · 2003
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A generalized iterative lqg method for locally-optimal feedback control of constrained nonlinear stochastic systems
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M. Lázaro-Gredilla, J. Quiñonero-Candela, C. E. Rasmussen, and A. R. Figueiras-Vidal · 2010
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A survey on policy search for robotics
M.P. Deisenroth, G. Neumann, and J. Peters · 2013
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Real-time model learning using incremental sparse spectrum gaussian process regression
A. Gijsberts and G. Metta · 2013
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Model-based contextual policy search for data-efficient generalization of robot skills
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Y. Tassa, N. Mansard, and E. Todorov · 2014
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Learning neural network policies with guided policy search under unknown dynamics
S. Levine and P. Abbeel · 2014
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