Mitigating Social Dilemmas in Multi-Agent Reinforcement Learning with Formal Contracting

As society deploys more and more sophisticated artificial intelligence (AI) agents, it will be increasingly necessary for such agents, while pursuing their own objectives, to coexist in common environments in the physical or digital worlds. This may pose a challenge if the agents’ objectives conflic...

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Bibliographic Details
Main Author: Christoffersen, Phillip Johannes Kerr
Other Authors: Hadfield-Menell, Dylan
Format: Thesis
Published: Massachusetts Institute of Technology 2024
Online Access:https://hdl.handle.net/1721.1/153795

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