1 |
LI Z, LIANG C, HONG Y,et al. How do on-demand ridesharing services affect traffic congestion? The moderating role of urban compactness [EB/OL]. [2022-01-22]. . 10.1111/poms.13530
|
2 |
李建斌,杨帆,管梦城,等.共同配送模式下订单车辆匹配决策优化研究[J].管理工程学报,2021,35(6):259-266.
|
|
LI J B, YANG F, GUAN M C, et al. Research on optimization of order-vehicle matching decision under the joint distribution mode[J]. Journal of Industrial Engineering and Engineering Management, 2021, 35(6): 259-266.
|
3 |
QIN Z, TANG X, JIAO Y, et al. Ride-hailing order dispatching at DiDi via reinforcement learning[J]. INFORMS Journal on Applied Analytics, 2020, 50(5): 272-286. 10.1287/inte.2020.1047
|
4 |
GAŠPEROV B, KOSTANJČAR Z. Deep reinforcement learning for market making under a Hawkes process-based limit order book model[J]. IEEE Control Systems Letters, 2022, 6: 2485-2490. 10.1109/lcsys.2022.3166446
|
5 |
TANG X, HUANG B, LIU T, et al. Highway decision-making and motion planning for autonomous driving via soft actor-critic[J]. IEEE Transactions on Vehicular Technology, 2022, 71(5): 4706-4717. 10.1109/tvt.2022.3151651
|
6 |
王建平,王刚,毛晓彬,等.基于深度强化学习的二连杆机械臂运动控制方法[J].计算机应用,2021,41(6):1799-1804. 10.11772/j.issn.1001-9081.2020091410
|
|
WANG J P, WANG G, MAO X B, et al. Motion control method of two-link manipulator based on deep reinforcement learning[J]. Journal of Computer Applications, 2021, 41(6): 1799-1804. 10.11772/j.issn.1001-9081.2020091410
|
7 |
陈浩杰,范江亭,刘勇.深度强化学习解决动态旅行商问题[J].计算机应用,2022,42(4):1194-1200. 10.11772/j.issn.1001-9081.2021071253
|
|
CHEN H J, FAN J T, LIU Y. Solving dynamic traveling salesman problem by deep reinforcement learning[J]. Journal of Computer Applications, 2022, 42(4): 1194-1200. 10.11772/j.issn.1001-9081.2021071253
|
8 |
MNIH V, KAVUKCUOGLU K, SILVER D, et al. Human-level control through deep reinforcement learning[J]. Nature, 2015, 518(7540): 529-533. 10.1038/nature14236
|
9 |
RASHID T, SAMVELYAN M, DE WITT C S, et al. QMIX: monotonic value function factorisation for deep multi-agent reinforcement learning[C]// Proceedings of the 35th International Conference on Machine Learning. New York: JMLR.org, 2018: 4295-4304. 10.48550/arXiv.1803.11485
|
10 |
DE LIMA O, SHAH H, CHU T S, et al. Efficient ridesharing dispatch using multi-agent reinforcement learning[EB/OL]. [2022-03-27]..
|
11 |
PAN L, CAI Q, FANG Z, et al. A deep reinforcement learning framework for rebalancing dockless bike sharing systems[C]// Proceedings of the 33rd AAAI Conference on Artificial Intelligence. Palo Alto, CA: AAAI Press, 2019: 1393-1400. 10.1609/aaai.v33i01.33011393
|
12 |
TANG X, QIN Z, ZHANG F, et al. A deep value-network based approach for multi-driver order dispatching[C]// Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York: ACM, 2019: 1780-1790. 10.1145/3292500.3330724
|
13 |
WANG Z, QIN Z, TANG X, et al. Deep reinforcement learning with knowledge transfer for online rides order dispatching[C]// Proceedings of the 2018 IEEE International Conference on Data Mining. Piscataway: IEEE, 2018: 617-626. 10.1109/icdm.2018.00077
|
14 |
VAN HASSELT H, GUEZ A, SILVER D. Deep reinforcement learning with double Q-learning[C]// Proceedings of the 30th AAAI Conference on Artificial Intelligence. Palo Alto, CA: AAAI Press, 2016: 2094-2100. 10.1609/aaai.v30i1.10295
|
15 |
CHILUKURI S, PESCH D. RECCE: deep reinforcement learning for joint routing and scheduling in time-constrained wireless networks[J]. IEEE Access, 2021, 9: 132053-132063. 10.1109/access.2021.3114967
|
16 |
SON K, KIM D, KANG W J, et al. QTRAN: learning to factorize with transformation for cooperative multi-agent reinforcement learning[C]// Proceedings of the 36th International Conference on Machine Learning. New York: JMLR.org, 2019: 5887-5896. 10.48550/arXiv.1905.05408
|
17 |
CUI H, ZHANG Z. A cooperative multi-agent reinforcement learning method based on coordination degree[J]. IEEE Access, 2021, 9: 123805-123814. 10.1109/access.2021.3110255
|
18 |
LIU B, LIU Q, STONE P, et al. Coach-player multi-agent reinforcement learning for dynamic team composition[C]// Proceedings of the 38th International Conference on Machine Learning. New York: JMLR.org, 2021: 6860-6870. 10.48550/arXiv.2105.08692
|
19 |
LUO M, ZHANG W, SONG T, et al. Rebalancing expanding EV sharing systems with deep reinforcement learning[C]// Proceedings of the 29th International Joint Conference on Artificial Intelligence. California: ijcai.org, 2020: 1338-1344. 10.24963/ijcai.2020/186
|
20 |
ZHOU M, JIN J, ZHANG W, et al. Multi-agent reinforcement learning for order-dispatching via order-vehicle distribution matching[C]// Proceedings of the 28th ACM International Conference on Information and Knowledge Management. New York: ACM, 2019: 2645-2653. 10.1145/3357384.3357799
|