AutoDRIVE Cooperative MARL is an open-source framework designed to train and deploy cooperative multi-agent reinforcement learning (MARL) policies for autonomous driving tasks. It integrates with realistic simulators to model traffic scenarios like intersections, highway platooning, and merging. The framework implements centralized training with decentralized execution, enabling vehicles to learn shared policies that maximize overall traffic efficiency and safety. Users can configure environment parameters, choose from baseline MARL algorithms, visualize training progress, and benchmark agent coordination performance.

Sentiance leverages cutting-edge AI technology to convert raw mobile sensor data into detailed insights about driving behavior, mobility patterns, and lifestyle activities. Our on-device intelligence ensures data privacy and user consent, offering a scalable solution for companies seeking to enhance user engagement, improve road safety, and create tailored experiences. With applications in telematics, insurance, mobility services, and smart cities, Sentiance's platform is designed to drive behavioral change and create meaningful impacts in various sectors.