Blaise Agüera y Arcas

Foundation model agents can achieve stable cooperation in social dilemmas by inferring behavioral similarities, defying classical game theory's expectations of mutual defection.

Sequence models can learn to cooperate in multi-agent settings simply by training against diverse partners, no explicit meta-learning required.