Learning from Oracle demonstrations—a new approach to develop autonomous intersection management control algorithms based on multiagent deep reinforcement …

A Guillen-Perez, MD Cano - IEEE Access, 2022 - ieeexplore.ieee.org
Worldwide, many companies are working towards safe and innovative control systems for
Autonomous Vehicles (AVs). A key component is Autonomous Intersection Management …
被引用次数：11 相关文章

Learning from oracle demonstrations-A new approach to develop autonomous intersection management control algorithms based on multiagent deep reinforcement …

A Guillén Pérez, MD Cano Baños - 2022 - repositorio.upct.es
Worldwide, many companies are working towards safe and innovative control systems for
Autonomous Vehicles (AVs). A key component is Autonomous Intersection Management …

[引用][C] Learning From Oracle Demonstrations—A New Approach to Develop Autonomous Intersection Management Control Algorithms Based on Multiagent Deep …

A Guillen-Perez, MD Cano - IEEE Access, 2022 - cir.nii.ac.jp
Learning From Oracle Demonstrations—A New Approach to Develop Autonomous Intersection
Management Control Algorithms Based on Multiagent Deep Reinforcement Learning | CiNii …

[引用][C] Learning From Oracle Demonstrations—A New Approach to Develop Autonomous Intersection Management Control Algorithms Based on Multiagent Deep …

A Guillen-Perez, MD Cano - IEEE Access, 2022 - ui.adsabs.harvard.edu
Learning From Oracle Demonstrations—A New Approach to Develop Autonomous Intersection
Management Control Algorithms Based on Multiagent Deep Reinforcement Learning …