Slides in PDF - of Marcus Hutter
Slides in PDF - of Marcus Hutter
Slides in PDF - of Marcus Hutter
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
<strong>Marcus</strong> <strong>Hutter</strong> - 107 - Universal Induction & Intelligence<br />
Next Steps<br />
• Address the many open theoretical questions (see <strong>Hutter</strong>:05).<br />
• Bridge the gap between (Universal) AI theory and AI practice.<br />
• Explore what role logical reason<strong>in</strong>g, knowledge representation,<br />
vision, language, etc. play <strong>in</strong> Universal AI.<br />
• Determ<strong>in</strong>e the right discount<strong>in</strong>g <strong>of</strong> future rewards.<br />
• Develop the right nurtur<strong>in</strong>g environment for a learn<strong>in</strong>g agent.<br />
• Consider embodied agents (e.g. <strong>in</strong>ternal↔external reward)<br />
• Analyze AIXI <strong>in</strong> the multi-agent sett<strong>in</strong>g.
Change language