Developing driving strategies efficiently: A skill-based hierarchical reinforcement learning approach
Y Gurses, K Buyukdemirci… - IEEE Control Systems …, 2024 - ieeexplore.ieee.org
Driving in dense traffic with human and autonomous drivers is a challenging task that
requires high-level planning and reasoning. Human drivers can achieve this task …
requires high-level planning and reasoning. Human drivers can achieve this task …
Driver Modeling Using a Continuous Policy Space: Theory and Traffic Data Validation
In this article, we present a continuous-policy-space game theoretical method for modeling
human driver interactions on highway traffic. The proposed method is based on Gaussian …
human driver interactions on highway traffic. The proposed method is based on Gaussian …
Driver modeling using continuous reasoning levels: A game theoretical approach
The focus of this paper is designing a game theoretical method using a continuous policy
space for modeling human driver interactions on highway traffic. The proposed method is …
space for modeling human driver interactions on highway traffic. The proposed method is …
Modeling human driver interactions using an infinite policy space through gaussian processes
This paper proposes a method for modeling human driver interactions that relies on multi-
output gaussian processes. The proposed method is developed as a refinement of the game …
output gaussian processes. The proposed method is developed as a refinement of the game …