安全强化学习综述

王雪松, 王荣荣, 程玉虎 - 自动化学报, 2023 - aas.net.cn
… This is because in the simulation scenario, the agent is able … essential factor for reinforcement
learning from simulation to … SRL in the fields of autonomous driving, robot control, industrial …

[PDF][PDF] 强化学习在自动驾驶技术中的应用与挑战

何逸煦, 林泓熠, 刘洋, 杨澜, 曲小波 - 同济大学学报(自然科学版), 2024 - researchgate.net
… of reinforcement learning in the field of autonomous driving. First,… are described according
to different directions of use. Finally, … metrics for generated autonomous driving test scenarios

[PDF][PDF] 类脑学习型自动驾驶决控系统的关键技术

李升波, 占国建, 蒋宇轩, 兰志前, 张宇航, 邹文俊… - 汽车 …, 2023 - qichegongcheng.com
reinforcement learning (RL)as the training algorithm to realize strategy self evolution through
continuous interaction with traffic … ];2022年 Li 等设计了MetaDrive 仿真平台,可以自动生成随 …

[PDF][PDF] 仿真到现实环境的自动驾驶决策技术综述

胡学敏, 黄婷玉, 余雅澜, 任佳佳, 谢微, 陈龙 - 中国图象图形学报 - cjig.cn
… trained only in the simulation world cannot be generalized to the real world. There is still a
Metadrive: composing diverse driving scenarios for generali zable reinforcement learning. …

[PDF][PDF] 元强化学习研究综述

陈奕宇, 霍静, 丁天雨, 高阳 - 软件学报, 2023 - jos.org.cn
… metareinforcement learning: firstly, we give a basic introduction to deep reinforcement learning
and … Deep reinforcement learning techniques in diversified domains: a survey. Archives of …