Universal Sequential Decisions in Unknown Environments

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We give a brief introduction to the AIXI model, which unifies and overcomes the limitations of sequential decision theory and universal Solomonoff induction. While the former theory is suited for active agents in known environments, the latter is suited for passive prediction of unknown environments.
2 pages

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Artificial Intelligence, Computational Complexity, Machine Learning, I.2; G.3

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http://salesiana.dossiersoluciones.com/handle/123456789/31649

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/cs/0306091
 http://arxiv.org/abs/cs/0306091
 Proc. 5th European Workshop on Reinforcement Learning (EWRL-2001) 25-26

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arXiv