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Universal sequential decisions in unknown environments

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Date

2001

Authors

Hutter, Marcus

Journal Title

Journal ISSN

Volume Title

Publisher

Utrecht University

Abstract

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.

Description

Keywords

Artificial intelligence, Rational agents, sequential decision theory, universal Solomonoff induction, algorithmic probability

Citation

URI

http://hdl.handle.net/1885/15169

Collections

ANU Research Publications

Source

Type

Conference paper

Book Title

Proceedings of the fifth European Workshop on Reinforcement Learning (EWRL-5)

Entity type

Access Statement

License Rights

DOI

Restricted until

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