Cooperative AI: Machines that Learn to Collaborate

Authors: Edward Hughes, Joel Z. Leibo, et al.
Year: 2023
Summary: This paper explores the challenges and opportunities in building AI systems that can effectively cooperate. It discusses various approaches to fostering cooperation in multi-agent reinforcement learning, including designing appropriate reward functions, communication protocols, and social learning mechanisms. It highlights the importance of cooperation for achieving complex goals in multi-agent environments.
Link: https://arxiv.org/abs/2303.07590