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DQN-Based Deep Reinforcement Learning for Autonomous Driving.

, , , , , , and . WAF, volume 1285 of Advances in Intelligent Systems and Computing, page 60-76. Springer, (2020)

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Deep Reinforcement Learning based control algorithms: Training and validation using the ROS Framework in CARLA Simulator for Self-Driving applications., , , , , , and . IV, page 1268-1273. IEEE, (2021)A Waypoint Tracking Controller for Autonomous Road Vehicles Using ROS Framework., , , , , , , , and . Sensors, 20 (14): 4062 (2020)DQN-Based Deep Reinforcement Learning for Autonomous Driving., , , , , , and . WAF, volume 1285 of Advances in Intelligent Systems and Computing, page 60-76. Springer, (2020)Deep reinforcement learning based control for Autonomous Vehicles in CARLA., , , , , , and . Multim. Tools Appl., 81 (3): 3553-3576 (2022)Integrating OpenFace 2.0 Toolkit for Driver Attention Estimation in Challenging Accidental Scenarios., , , , , , and . WAF, volume 1285 of Advances in Intelligent Systems and Computing, page 274-288. Springer, (2020)Integrating State-of-the-Art CNNs for Multi-Sensor 3D Vehicle Detection in Real Autonomous Driving Environments., , , , , , and . ITSC, page 1425-1431. IEEE, (2019)Gaze Focalization System for Driving Applications Using OpenFace 2.0 Toolkit with NARMAX Algorithm in Accidental Scenarios., , , , , , and . Sensors, 21 (18): 6262 (2021)