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}
}