搜索deep reinforcement learning共有 49 个结果
1
Design of optimal caching strategy in edge caching system based on consortium chain
Accepted Paper
2024年第8期 :
doi:10.19734/j.issn.1001-3695.2023.12.0593
2
Madrl-based UAV deployment and node efficiency optimization for information collection in disaster scenarios
Accepted Paper
2024年第7期 :
doi:10.19734/j.issn.1001-3695.2023.11.0537
3
Strategy on trusted task offloading for Internet of Vehicles based on multi-agent deep reinforcement learning
Accepted Paper
2024年第7期 :
doi:10.19734/j.issn.1001-3695.2023.11.0546
4
Intersection decision model based on ga-td3 algorithm
Accepted Paper
2024年第7期 :
doi:10.19734/j.issn.1001-3695.2023.10.0570
5
Review of reinforcement learning and deep reinforcement learning methods in large-scale intelligent traffic signal control
Accepted Paper
2024年第6期 :
doi:10.19734/j.issn.1001-3695.2023.08.0419
6
Deep reinforcement learning based-edge network content cooperative caching and transmission scheme
Accepted Paper
2024年第6期 :
doi:10.19734/j.issn.1001-3695.2023.10.0435
7
Deep reinforcement learning middleware for blockchain oracle node selection
Accepted Paper
2024年第6期 :
doi:10.19734/j.issn.1001-3695.2023.10.0516
8
Scheduling of dynamic tasks in e-government clouds using deep reinforcement learning
Accepted Paper
2024年第6期 :
doi:10.19734/j.issn.1001-3695.2023.10.0527
9
Improved neighborhood search algorithm based on graph neural network
Accepted Paper
2024年第5期 :
doi:10.19734/j.issn.1001-3695.2023.08.0410
10
Gradient-based multi-agent meta deep reinforcement learning algorithm
Accepted Paper
2024年第5期 :
doi:10.19734/j.issn.1001-3695.2023.09.0411
11
Research on edge to end collaborative computing offloading technology in unmanned aircraft cluster scenarios
Accepted Paper
2024年第5期 :
doi:10.19734/j.issn.1001-3695.2023.08.0418
12
Autonomous navigation algorithm for mobile robots based on trajectory guidance policy optimization
Accepted Paper
2024年第5期 :
doi:10.19734/j.issn.1001-3695.2023.09.0422
13
Multi-video stream bandwidth allocation strategy based on federated consensus mechanism
2024年第4期 : 1150-1158
doi:10.19734/j.issn.1001-3695.2023.08.0371
14
Visual-based reinforcement learning for digital chip global placement
2024年第4期 : 1270-1274
doi:10.19734/j.issn.1001-3695.2023.08.0385
15
UAV-assisted two-layer deep reinforcement learning algorithm for task offloading
2024年第2期 : 426-431
doi:10.19734/j.issn.1001-3695.2023.06.0250
16
Deep reinforcement learning traffic light control strategy combined with fuzzy control
2024年第1期 : 165-169
doi:10.19734/j.issn.1001-3695.2023.04.0187
17
Research on function placement based on DQN and user intention in serverless environment
2023年第12期 : 3747-3753,3759
doi:10.19734/j.issn.1001-3695.2023.03.0143
18
Multi-intelligence deep reinforcement learning-based task offloading strategy for disaster emergency scenarios
2023年第12期 : 3766-3771,3777
doi:10.19734/j.issn.1001-3695.2023.04.0159
19
Exploration approaches in deep reinforcement learning based on uncertainty: a review
2023年第11期 : 3201-3210
doi:10.19734/j.issn.1001-3695.2023.03.0130
20
Multi-action deep reinforcement learning based scheduling method for spinning machine manufacturing shop floor
2023年第11期 : 3247-3253
doi:10.19734/j.issn.1001-3695.2023.03.0134
21
Processing in memory deployment optimization algorithm based on deep reinforcement learning
2023年第9期 : 2616-2620
doi:10.19734/j.issn.1001-3695.2023.02.0047
22
Task offloading method based on deep reinforcement learning for vehicular edge computing
2023年第9期 : 2803-2807,2814
doi:10.19734/j.issn.1001-3695.2023.02.0027
23
Optimization for active reconfigurable intelligent surface-assisted secure wireless communication based on deep reinforcement learning
2023年第9期 : 2808-2814
doi:10.19734/j.issn.1001-3695.2023.01.0026
24
Method of improving performance of congestion control in wireless Ad hoc network based on deep reinforcement learning
2023年第7期 : 2138-2145
doi:10.19734/j.issn.1001-3695.2022.11.0775
25
Right-turn driving decisions of autonomous vehicles at signal-free intersections
2023年第5期 : 1468-1472
doi:10.19734/j.issn.1001-3695.2022.08.0420
26
New RPA path planning algorithm based on metaphor map
2023年第4期 : 1006-1011
doi:10.19734/j.issn.1001-3695.2022.08.0433
27
Attention mechanism based deep reinforcement learning for traffic signal control
2023年第2期 : 430-434
doi:10.19734/j.issn.1001-3695.2022.06.0334
28
Task secondary application offloading strategy based on deep reinforcement learning in cloud-edge collaborative computing
2022年第12期 : 3760-3764
doi:10.19734/j.issn.1001-3695.2022.04.0220
29
End-to-end deep reinforcement learning framework for multi-depot vehicle routing problem
2022年第10期 : 3013-3019
doi:10.19734/j.issn.1001-3695.2022.03.0095
30
Research on inventory control and dynamic pricing of fresh produce based on deep reinforcement learning
2022年第9期 : 2660-2664
doi:10.19734/j.issn.1001-3695.2022.01.0056
31
Stochastic resource-constrained multi-project dynamic scheduling strategy based on deep reinforcement learning
2022年第9期 : 2752-2756
doi:10.19734/j.issn.1001-3695.2022.03.0065
32
RAN slice resource allocation based on DRL in multi base stations
2022年第9期 : 2791-2798
doi:10.19734/j.issn.1001-3695.2021.12.0706
33
State prediction based deep reinforcement learning for traffic signal control
2022年第8期 : 2311-2315
doi:10.19734/j.issn.1001-3695.2021.12.0704
34
Multi-junction signal control optimization based on deep reinforcement learning
2022年第8期 : 2329-2332
doi:10.19734/j.issn.1001-3695.2022.01.0006
35
Dynamic mobile robot collaborative computing offloading based on improved deep reinforcement learning
2022年第7期 : 2087-2090,2103
doi:10.19734/j.issn.1001-3695.2021.11.0654
36
Design of AGV intelligent navigation system based on deep reinforcement learning
2022年第5期 : 1501-1504,1509
doi:10.19734/j.issn.1001-3695.2021.10.0472
37
Evolutionary job scheduling algorithm based on population optimization by deep reinforcement learning
2022年第3期 : 739-743,757
doi:10.19734/j.issn.1001-3695.2021.08.0356
38
Deep reinforcement learning algorithm for rectangle layout optimization with equilibrium constraint
2022年第1期 : 146-150
doi:10.19734/j.issn.1001-3695.2021.05.0218
39
Research on improved DDPG algorithm based on LSTM and asymmetric network
2022年第1期 : 183-187
doi:10.19734/j.issn.1001-3695.2021.05.0200
40
Transfer reinforcement learning algorithm with double Q-learning
2021年第6期 : 1699-1703
doi:10.19734/j.issn.1001-3695.2020.09.0232
41
Adaptive opening and screwing method of manipulator based on force guidance
2021年第6期 : 1804-1808
doi:10.19734/j.issn.1001-3695.2020.06.0251
42
Cross-domain mapping algorithm of service function chain based on deep reinforcement learning
2021年第6期 : 1834-1837,1842
doi:10.19734/j.issn.1001-3695.2020.08.0246
43
Multi-user cellular network power allocation based on deep double Q network
2021年第5期 : 1498-1502
doi:10.19734/j.issn.1001-3695.2020.07.0184
44
Deep reinforcement learning based offloading scheduling in mobile edge computing
2021年第1期 : 241-245,263
doi:10.19734/j.issn.1001-3695.2019.10.0594
45
Robot path planning based on soft AC algorithm for multilayer attention mechanism
2020年第12期 : 3650-3655
doi:10.19734/j.issn.1001-3695.2019.09.0529
46
Research on solid radioactive waste grasping method based on deep reinforcement learning
2020年第11期 : 3363-3367
doi:10.19734/j.issn.1001-3695.2019.07.0288
47
SFC mapping algorithm based on deep reinforcement learning
2020年第11期 : 3456-3460,3466
doi:10.19734/j.issn.1001-3695.2019.08.0278
48
Design of TOC reward function in multi-target trajectory recovery with deep reinforcement learning
2020年第6期 : 1626-1632
doi:10.19734/j.issn.1001-3695.2018.12.0886
49
Mining fastest route using taxi drivers’ experience via constrained deep reinforcement learning
2020年第5期 : 1298-1302
doi:10.19734/j.issn.1001-3695.2018.10.0810