Category: Deep Multi-Agent Reinforcement Learning for Decision Making in Autonomous Driving Systems
Deep Multi-Agent Reinforcement Learning for Decision Making in Autonomous Driving Systems
A high intelligence decision-making system is crucial for urban autonomous driving with dense surrounding dynamic objects. It must be able to handle the complex road geometry and topology, complex multi-agent interactions, and accurately follow the high-level commands such as routing information. The vehicle must apply sophisticated negotiation skills with other road users when overtaking, giving […]