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Multi-Task Learning with Gaussian Processes with Applications to Robot Inverse Dynamics

author: Chris Williams, University of Edinburgh
published: Jan. 19, 2010,   recorded: December 2009,   views: 5063
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Description

I will discuss multi-task learning, and a number of ways in which transfer between tasks can take place, mainly in a co-kriging (or Gaussian process) framework. I will then go into more detail on multi-task Gaussian process learning of robot inverse dynamics (joint work with Kian Ming Chai, Stefan Klanke, Sethu Vijayakumar).

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Download slides icon Download slides: nipsworkshops09_williams_mlgp_01.pdf (395.2 KB)

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