Asymptotically Optimal Agents

Preprint English OPEN
Lattimore, Tor; Hutter, Marcus;
(2011)
  • Subject: Computer Science - Artificial Intelligence | Computer Science - Learning
    arxiv: Computer Science::Multiagent Systems

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... View more
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