Collaborative Decision

Collaborative decision-making research focuses on developing algorithms and frameworks that enable multiple agents, whether autonomous vehicles, AI systems, or humans, to coordinate effectively towards shared goals. Current research emphasizes multi-agent reinforcement learning (MARL) approaches, often incorporating game theory, attention mechanisms, and graph neural networks to model agent interactions and optimize collective outcomes. This field is crucial for advancing autonomous systems, improving human-AI teamwork, and optimizing resource allocation in complex scenarios, with applications ranging from traffic management to healthcare and public policy.