AAAI 2026technical0 citations
Learning to Cooperate with Minimal Observability
Chin-wing Leung, Paolo Turrini, Fernando P. Santos, Mirco Musolesi
Abstract
Cooperation among independent learning agents is desirable as it enables reaching collectively rewarding states. Recent work has shown that artificial agents can learn to act pro-socially without the need for predefined cooperative preferences or behavioural heuristics, provided that they can observe others
BibTeX
@inproceedings{aaai2026_learningtocooper,
title = {Learning to Cooperate with Minimal Observability},
author = {Chin-wing Leung and Paolo Turrini and Fernando P. Santos and Mirco Musolesi},
booktitle = {AAAI 2026},
year = {2026}
}