Multi-Agent Cooperation through In-Context Co-Player Inference скачать в хорошем качестве

Multi-Agent Cooperation through In-Context Co-Player Inference

Paper: Multi-agent cooperation through in-context co-player inference (2602.16301) Published: 18 Feb 2026. Learn more on Emergent Mind: https://www.emergentmind.com/papers/2... arXiv: https://arxiv.org/abs/2602.16301 Sign up for our free trending papers email digest: https://www.emergentmind.com/subscribe Follow us on X: https://x.com/EmergentMind Join our Discord:   / discord   This presentation explores how AI agents can learn to cooperate in competitive social dilemmas without explicit coordination mechanisms. The research demonstrates that training sequence-model-based agents against diverse co-players enables them to develop in-context learning abilities that naturally lead to cooperative behaviors through mutual adaptation, eliminating the need for complex meta-learning architectures while providing a scalable path toward robust multi-agent cooperation.