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Found 3 papers, 0 papers with code
Human Driver Behavior Prediction based on UrbanFlow
How autonomous vehicles and human drivers share public transportation systems is an important problem, as fully automatic transportation environments are still a long way off.
Hierarchical Reinforcement Learning Method for Autonomous Vehicle Behavior Planning
In this work, we propose a hierarchical reinforcement learning (HRL) structure which is capable of performing autonomous vehicle planning tasks in simulated environments with multiple sub-goals.
Hierarchical Reinforcement Learning
reinforcement-learning
+1
Learning On-Road Visual Control for Self-Driving Vehicles with Auxiliary Tasks
In this paper, we leverage auxiliary information aside from raw images and design a novel network structure, called Auxiliary Task Network (ATN), to help boost the driving performance while maintaining the advantage of minimal training data and an End-to-End training method.
