Web: http://arxiv.org/abs/2206.10614

June 23, 2022, 1:10 a.m. | Robert Loftin, Frans A. Oliehoek

cs.LG updates on arXiv.org arxiv.org

Learning to cooperate with other agents is challenging when those agents also
possess the ability to adapt to our own behavior. Practical and theoretical
approaches to learning in cooperative settings typically assume that other
agents' behaviors are stationary, or else make very specific assumptions about
other agents' learning processes. The goal of this work is to understand
whether we can reliably learn to cooperate with other agents without such
restrictive assumptions, which are unlikely to hold in real-world applications.
Our …

arxiv games learning on partner strategies

More from arxiv.org / cs.LG updates on arXiv.org

Machine Learning Researcher - Saalfeld Lab

@ Howard Hughes Medical Institute - Chevy Chase, MD | Ashburn, Virginia

Project Director, Machine Learning in US Health

@ ideas42.org | Remote, US

Data Science Intern

@ NannyML | Remote

Machine Learning Engineer NLP/Speech

@ Play.ht | Remote

Research Scientist, 3D Reconstruction

@ Yembo | Remote, US

Clinical Assistant or Associate Professor of Management Science and Systems

@ University at Buffalo | Buffalo, NY