Probabilistic Inference for Determining Options in Reinforcement Learning

Daniel, C.; van Hoof, H.; Peters, J; Neumann, G.

doi:10.1007/s10994-016-5580-x

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Probabilistic Inference for Determining Options in Reinforcement Learning

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Peters, J
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;
Dept. Autonomous Motion, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Daniel, C., van Hoof, H., Peters, J., & Neumann, G. (2016). Probabilistic Inference for Determining Options in Reinforcement Learning. Machine Learning, Special Issue, 104(2), 337-357. doi:10.1007/s10994-016-5580-x.

Cite as: https://hdl.handle.net/11858/00-001M-0000-002D-19A7-8

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