机译:自动互联网的深度加强学习:模型,应用和挑战
College of Engineering and Physical Sciences University of Guelph Guelph ON Canada;
Intelligent Computing and Communication Laboratory Key Laboratory of Universal Wireless Communications Ministry of Education Beijing University of Posts and Telecommunications Beijing China;
Intelligent Computing and Communication Laboratory Key Laboratory of Universal Wireless Communications Ministry of Education Beijing University of Posts and Telecommunications Beijing China;
Intelligent Computing and Communication Laboratory Key Laboratory of Universal Wireless Communications Ministry of Education Beijing University of Posts and Telecommunications Beijing China;
Department of Electrical and Computer Engineering University of Nebraska–Lincoln Lincoln NE USA;
Department of Electrical and Computer Engineering University of Waterloo Waterloo ON Canada;
Internet of Things; Servers; Machine learning; Actuators; Tutorials; Approximation algorithms;
机译:利用强化学习和深度逆钢筋学习的自治车辆先进规划
机译:深增强学习及其在UCAVS攻击区自主拟合优化的应用
机译:多读系统的深度加固学习:审查挑战,解决方案和应用
机译:面向生存的强化学习模型:针对自动驾驶问题的高效鲁棒深度强化学习算法
机译:利用深增强学习的空间情境意识的自主传感器任务
机译:基于深度强化学习的无人舰船自主路径规划模型
机译:自动互联网的深度加强学习:模型,应用和挑战