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Gaussian Processes for Data-Efficient Learning in Robotics and Control
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Marc Peter Deisenroth,Dieter Fox,Carl Edward Rasmussen
Issue Date:May 2014
pp. 1
Autonomous learning has been a promising direction in control and robotics for more than a decade since data-driven learning allows to reduce the amount of engineering knowledge, which is otherwise required. However, autonomous reinforcement learning (RL) ...
   
Analytic moment-based Gaussian process filtering
Found in: Proceedings of the 26th Annual International Conference on Machine Learning (ICML '09)
By Marc Peter Deisenroth, Marco F. Huber, Uwe D. Hanebeck
Issue Date:June 2009
pp. 1-8
We propose an analytic moment-based filter for nonlinear stochastic dynamic systems modeled by Gaussian processes. Exact expressions for the expected value and the covariance matrix are provided for both the prediction step and the filter step, where an ad...
     
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