Collaborative Game

Collaborative games research explores how multiple agents, whether robots, AI models, or humans, can effectively cooperate to achieve shared goals. Current research focuses on addressing challenges like deadlock avoidance in multi-agent navigation (using techniques like strategic pseudo-goal perturbation and control barrier functions) and optimizing resource allocation in complex systems (e.g., freight forwarding networks, leveraging Shapley values and locally collaborative game theory). This field is significant for advancing AI capabilities in communication, coordination, and decision-making, with applications ranging from robotics and logistics to educational games and human-computer interaction.