Intent Sharing

Intent sharing in multi-agent systems focuses on enabling agents to communicate their future actions (intentions) to improve coordination and efficiency, particularly in complex environments like autonomous driving. Current research explores various architectures, including multi-agent reinforcement learning (MARL) models enhanced with intention generation and safety modules, and frameworks leveraging large language models for intention propagation and reasoning. This research is significant for advancing cooperative decision-making in autonomous systems and other multi-agent scenarios, leading to improved safety, efficiency, and overall system performance.