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Slides in PDF - of Marcus Hutter

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<strong>Marcus</strong> <strong>Hutter</strong> - 73 - Universal Induction & Intelligence<br />

Known environment µ<br />

• Assumption: µ is the true environment <strong>in</strong> which the agent operates<br />

• Then, policy p µ is optimal <strong>in</strong> the sense that no other policy for an<br />

agent leads to higher µ AI -expected reward.<br />

• Special choices <strong>of</strong> µ: determ<strong>in</strong>istic or adversarial environments,<br />

Markov decision processes (mdps), adversarial environments.<br />

• There is no pr<strong>in</strong>ciple problem <strong>in</strong> comput<strong>in</strong>g the optimal action y k as<br />

long as µ AI is known and computable and X , Y and m are f<strong>in</strong>ite.<br />

• Th<strong>in</strong>gs drastically change if µ AI is unknown ...

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