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...
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 |
Similar Items
-
Formal contracts mitigate social dilemmas in multi-agent reinforcement learning
by: Haupt, Andreas, et al.
Published: (2024) -
Mitigating Generative Agent Social Dilemmas
by: Yocum, Julian R.
Published: (2024) -
Deep multi-agent reinforcement learning
by: Foerster, J
Published: (2018) -
Deep reinforcement learning to multi-agent deep reinforcement learning
by: Samieiyeganeh, Mehdi, et al.
Published: (2022) -
Learning multi-agent competitive games with reinforcement learning
by: Neo, Yong Tai
Published: (2022)