Computer Science – Artificial Intelligence
Scientific paper
2011-07-27
Proc. 22nd International Conf. on Algorithmic Learning Theory (ALT-2011) pages 368-382
Computer Science
Artificial Intelligence
21 LaTeX pages
Scientific paper
Artificial general intelligence aims to create agents capable of learning to
solve arbitrary interesting problems. We define two versions of asymptotic
optimality and prove that no agent can satisfy the strong version while in some
cases, depending on discounting, there does exist a non-computable weak
asymptotically optimal agent.
Hutter Marcus
Lattimore Tor
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