Planning for Negotiations in Autonomous Driving using Reinforcement Learning
Roi Reshef,Roi Reshef
Planning autonomous driving behaviors in dense traffic is challenging. Human drivers are able to influence their road environment to achieve (otherwise unachievable) goals, by communicating their intents to other drivers. An autonomous system that is required to drive in the presence of human traffic must thus possess this fundamental negotiation capability. This work presents a novel benchmark th...
