Cooperative AI

Cooperative AI focuses on designing and training multiple artificial intelligence agents to collaborate effectively, even with conflicting goals or incomplete information. Current research emphasizes developing robust algorithms and architectures, such as multi-agent reinforcement learning and program-based approaches, to achieve zero-shot coordination (cooperation with unseen partners) and address challenges like incentive misalignment and adversarial behavior. This field is crucial for building reliable and beneficial AI systems for complex real-world applications, ranging from climate change mitigation to efficient resource management in communication networks, by improving the ability of AI agents to work together in diverse and unpredictable environments.