D Kamran, CF Lopez, M Lauer… - 2020 IEEE Intelligent …, 2020 - ieeexplore.ieee.org
… In this section, we explain the model defined for representing the occludedintersection which is depicted in Fig. 1. This representation can be used by a rule-based or a …
X Lin, J Zhang, J Shang, Y Wang, H Yu… - 2019 IEEE Intelligent …, 2019 - ieeexplore.ieee.org
… learning techniques on lane changing problems. The potential of deep reinforcementlearning in handling intersection … The main focus of this work is to deal with occludedintersections. …
… learning to predict occlusion segments, and optimal camera positions, while the other learns to avoid occlusion using ReinforcementLearning. … The intersections of the object bounding …
… the intersection navigation problem. We then present our safe reinforcementlearning algorithm and … Fujimura, “Navigating occludedintersections with autonomous vehicles using deep …
… a simple occlusion model that enables our agents to navigate intersections with occlusions … various agents using Deep ReinforcementLearning on a small set of intersection layouts and …
H Seong, C Jung, S Lee… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
… Duerr, “Superhuman performance in gran turismo sport using deep reinforcementlearning,” … occludedintersections with autonomous vehicles using deep reinforcementlearning,” in …
S Kai, B Wang, D Chen, J Hao… - 2020 IEEE Intelligent …, 2020 - ieeexplore.ieee.org
… intersection navigation as a multi-task reinforcementlearning problem and propose a unified learning … Fujimura, “Navigating occludedintersections with autonomous vehicles using …
… An additional study with a simple occlusion model is … trained using a curriculum reinforcement learning approach, we present a … curriculum-based reinforcementlearning for autonomous …
… Fujimura, “Navigating occludedintersections with autonomous vehicles using deep reinforcementlearning,” in 2018 IEEE International Conference on Robotics and Automation (ICRA). …