Driving in Dense Traffic with Model-Free Reinforcement Learning
Dhruv Mauria Saxena,Sangjae Bae,Alireza Nakhaei,Kikuo Fujimura,Maxim Likhachev,Dhruv Mauria Saxena,Sangjae Bae,Alireza Nakhaei,Kikuo Fujimura,Maxim Likhachev
Traditional planning and control methods could fail to find a feasible trajectory for an autonomous vehicle to execute amongst dense traffic on roads. This is because the obstacle-free volume in spacetime is very small in these scenarios for the vehicle to drive through. However, that does not mean the task is infeasible since human drivers are known to be able to drive amongst dense traffic by le...
