Milnor-Myerson Games and The Principles of Artificial Principal-Agent Problems

Manfred Diaz, Joel Z Leibo, Liam Paull

Keywords: game theory, reinforcement learning, supervised learning, principal-agent problems, machine learning, agency

Abstract: In this paper, we introduce Milnor-Myerson games, a multiplayer interaction structure at the core of machine learning (ML), to shed light on the fundamental principles and implications the artificial principal-agent problem has had in landmark ML results like AlphaGo and large language models (LLMs).

Submission Number: 27