Universal Sequential Decisions in Unknown Environments

Details Universal Sequential Decisions in Unknown Environments Universal Sequential Decisions in Unknown Environments

2003-06-16

arxiv.org/abs/cs/0306091v2

Proc. 5th European Workshop on Reinforcement Learning (EWRL-2001) 25-26

Computer Science

Artificial Intelligence

2 pages

Scientific paper

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.

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