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