Ad Hoc

Ad hoc teamwork focuses on enabling agents, particularly AI agents and robots, to collaborate effectively with unfamiliar partners without prior coordination or training. Current research emphasizes developing robust algorithms and architectures, such as graph neural networks and large language models, to facilitate communication, coordination, and adaptation in diverse scenarios, including those with partial observability and adversarial agents. This field is significant for advancing multi-agent systems and has implications for various applications, from human-robot collaboration in complex tasks to efficient resource management in decentralized networks.