17 citations · 31 across the 6 of their papers we have counts for
3 papers · 2 filters
Trajectory Planning for Autonomous Vehicles Using Hierarchical Reinforcement Learning
Kaleb Ben Naveed, Zhiqian Qiao, John M. Dolan
Planning safe trajectories under uncertain and dynamic conditions makes the autonomous driving problem significantly complex. Current sampling-based methods such as Rapidly Explori…
Safe Trajectory Planning Using Reinforcement Learning for Self Driving
Josiah Coad, Zhiqian Qiao, John M. Dolan
Self-driving vehicles must be able to act intelligently in diverse and difficult environments, marked by high-dimensional state spaces, a myriad of optimization objectives and comp…
Behavior Planning at Urban Intersections through Hierarchical Reinforcement Learning
Zhiqian Qiao, Jeff Schneider, John M. Dolan
For autonomous vehicles, effective behavior planning is crucial to ensure safety of the ego car. In many urban scenarios, it is hard to create sufficiently general heuristic rules,…