1 |
邱锡鹏.神经网络与深度学习[M].北京:机械工业出版社,2020: 329.
|
|
QIU X P. Neural networks and deep learning[M]. Beijing: China Machine Press, 2020: 329.
|
2 |
CHARLES D, BRAHIM C. Cooperative adaptive cruise control: a reinforcement learning approach[J].IEEE Transactions on Intelligent Transportation Systems, 2011, 12(4): 1248-1260.
|
3 |
高振海,孙天骏,何 磊.汽车纵向自动驾驶的因果推理型决策[J].吉林大学学报(工学版),2019,49(5):1392-1404.
|
|
GAO Z H, SUN T J, HE L. Causal reasoning decision⁃making for vehicle longitudinal autonomous driving[J]. Journal of Jilin University (Engineering and Technology Edition), 2019, 49(5): 1392-1404.
|
4 |
YE Y J, ZHANG X H, SUN J. Automated vehicle's behavior decision making using deep reinforcement learning and high-fidelity simulation environment[J].Transportation Research: Part C, 2019, 107: 155-170.
|
5 |
ZHU M X, WANG Y H, PU Z Y, et al. Safe, efficient, and comfortable velocity control based on reinforcement learning for autonomous driving[J].Transportation Research Part C: Emerging Technologies, 2020, 117:102662.
|
6 |
郭应时, 蒋拯民, 白 艳,等.无人驾驶汽车路径跟踪控制方法拟人程度研究[J]. 中国公路学报,2018,31(8):189-196.
|
|
GUO Y S, JIANG Z M, BAI Y, et al. Investigation of humanoid level of path tracking methods based on autonomous vehicles[J]. China Journal of Highway and Transport, 2018, 31(8): 189-196.
|
7 |
BLESA W, EBOSA J E, GRAAF B, et al. Motion sickness: only one provocative conflict[J]. Brain Research Bulletin, 1998, 47(5):481-487.
|
8 |
PAN F, BAO H.Reinforcement learning model with a reward function based on human driving characteristics[C]. Proceedings of the 15th International Conference on Computational Intelligence and Security, IEEE, 2019: 225-229.
|
9 |
GU T, DOLAN J M. Toward human-like motion planning in urban environments[C]. 2014 IEEE Intelligent Vehicles Symposium Proceedings, IEEE, 2014: 350-355.
|
10 |
LEFÈVRE S, CARVALHO A, BORRELLI F. Autonomous car following: a learning-based approach[C]. 2015 IEEE Intelligent Vehicles Symposium (IV), IEEE, 2015: 920–926.
|
11 |
KUDERER M S, BURGARD W. Learning driving styles for autonomous vehicles from demonstration[C]. IEEE International Conference on Robotics and Automation (ICRA), 2015:2641–2646.
|
12 |
ZOU Q J, XIONG K, HOU Y L. An end-to-end learning of driving strategies based on DDPG and imitation learning[C]. 2020 Chinese Control and Decision Conference (CCDC), IEEE, 2020: 3190-3195.
|
13 |
ZHU M X, WANG X S, WANG Y H, et al. Human-like autonomous car-following model with deep reinforcement learning[J]. Transportation Research: Part C,2018, 97: 348-368.
|
14 |
CHEN X, ZHAI Y, LU C, et al. A learning model for personalized adaptive cruise control[C]. 2017 IEEE Intelligent Vehicles Symposium (IV), IEEE, 2017: 379-384.
|
15 |
刘旖菲. 逆向强化学习研究概述[J]. 电脑知识与技术, 2021,17(15): 190-191.
|
|
LIU Y F. An overview of inverse reinforcement learning[J]. Computer Knowledge and Technology, 2021, 17(15): 190-191.
|
16 |
GAO H B, SHI G Y, XIE G T, et al. Car-following method based on inverse reinforcement learning for autonomous vehicle decision-making[J]. International Journal of Advanced Robotic Systems, 2018, 15(6): 1-11.
|
17 |
NG A Y, RUSSELL S J. Algorithms for inverse reinforcement learning[C]. Proceedings of 17th International Conference on Machine Learning, Morgan Kaufmann, 2000: 663-670.
|
18 |
冯 超. 强化学习精要:核心算法与TensorFlow实现[M]. 北京: 电子工业出版社,2018:329-371.
|
|
FENG C. Essentials of reinforcement learning: core algorithm and Tensorflow implementation[M]. Beijing: Publishing House of Electronics Industry, 2018:329-371.
|
19 |
周志华. 机器学习[ M].北京:清华大学出版社, 2015:390-392.
|
|
ZHOU Z H. Machine learning[M]. Beijing: Tsinghua University Publishing House, 2015:390-392.
|
20 |
YOU C X, LU J B, FILEV D, et al. Advanced planning for autonomous vehicles using reinforcement learning and deep inverse reinforcement learning[J]. Robotics and Autonomous Systems, 2019, 144: 1-18.
|
21 |
唐明弘,高振海,宋学伟. 基于逆向强化学习的ACC拟人化决策算法研究[C].2020中国汽车工程学会年会,2020:125-131.
|
|
TANG M H, GAO Z H, SONG X W, et al. Research on the human-like decision algorithm of ACC based on inverse reinforcement learning [C]. 2020 China Society of Automotive Engineering Congress, 2020:125-131.
|
22 |
XIA C, KARMEL A E. Neural inverse reinforcement learning in autonomous navigation[J]. Robotics and Autonomous Systems, 2016, 84:1-14.
|
23 |
ABBEEL P, NG A Y. Apprenticeship learning via inverse reinforcement learning[C]. International Conference on Machine Learning,2004:1-8.
|
24 |
高振海,闫相同,高菲. 驾驶员DDPG汽车纵向自动驾驶决策方法[J]. 汽车工程,2021,43(12): 1737-1744.
|
|
GAO Z H, YAN X T, GAO F. A driver-like decision-making method for longitudinal autonomous driving based on DDPG [J]. Automotive Engineering, 2021,43(12): 1737-1744.
|