What can Gaussian Processes do for Reinforcement Learning?

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• Marc Deisenroth, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany
• Thursday 24 May 2007, 13:00-15:00
• 5th floor meeting room, Engineering Department.

If you have a question about this talk, please contact Frederik Eaton.

After a short introduction to reinforcement learning, I will talk about possible areas where Gaussian processes can be integrated into the reinforcement learning framework. As a case study, I will consider the problem of an underactuated pendulum to demonstrate that its swing-up is already a difficult task.

This talk is part of the Machine Learning Reading Group @ CUED series.

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