… to train autonomous vehicle with reinforcement learning in a … a self-driving vehicle using
reinforcement learning algorithm by … a self driving vehicle that can be placed in the real world. …

… behavior planning of an unmanned vehicle the central one is … vehicle, based on the integration
of reinforcement learning … The possibilities of estimation of the vehicle orientation angle …

… Path tracking is an essential task for autonomous vehicles (… While solving the time-varying
nonlinear vehicle dynamic … of using deep reinforcement learning (DRL) for vehicle control …

… in realizing fully autonomous driving vehicles. For safe autonomous driving, autonomous
vehicles should perceive the environments using the sensors and control the vehicle to travel …

… planning through reinforcement learning. Q-learning is a branch of reinforcement learning, …
-making problems and enable autonomous vehicles to learn a large number of behavioral …

… autonomous vehicles invariably requires that the full-state variables are constrained within
the safety region even during the learning … an adaptive safe reinforcement learning (RL) …

… reinforcement learning, we implement two methods to find the equilibria in the game: Robust
Adversarial Reinforcement Learning (… The adversarial network learns to perturb the vehicle …

… Abstract— Behavioral decision making is an important aspect of autonomous vehicles (AV). …
reinforcement learning (HRL) which is capable of performing autonomous vehicle planning …

… reinforcement learning approach for robust decision making of autonomous vehicles at …
agent that can learn an optimal adversarial policy to thwart the autonomous driving agent. …

… Abstract—Autonomous braking through vehicle precise decision-… of autonomous vehicle
development. This paper proposes a deep reinforcement learning (DRL)-based autonomous …