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Embed Trajectory Imitation in Reinforcement Learning: A Hybrid Method for Autonomous Vehicle Planning
会议论文
Orlando, FL, USA, 2023-11
作者:
Wang, Yuxiao
;
Dai, Xingyuan
;
Wang, Kara
;
Ali, Hub
;
Zhu, Fenghua
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/06/11
Imitation Learning
Trajectory Planning
Deep Reinforcement Learning
Autonomous Driving
DenseStream: A Novel Data Representation for Gradient Sparsification in Distributed Synchronous SGD Algorithms
会议论文
澳大利亚昆士兰州, 2023年5月18-23日
作者:
Guangyao Li
;
Mingxue Liao
;
Yongyue Chao
;
Pin Lv
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2023/06/28
Event-Triggered Deep Reinforcement Learning Using Parallel Control: A Case Study in Autonomous Driving
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 4, 页码: 2821-2831
作者:
Lu, Jingwei
;
Han, Liyuan
;
Wei, Qinglai
;
Wang, Xiao
;
Dai, Xingyuan
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2023/11/17
Autonomous vehicles
Decision making
Path planning
Training
Optimal control
Deep learning
Complex systems
Autonomous driving
deep reinforcement learning
deep Q-network
event-triggered control
parallel control
HMDRL: Hierarchical Mixed Deep Reinforcement Learning to Balance Vehicle Supply and Demand
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:
Xi, Jinhao
;
Zhu, Fenghua
;
Ye, Peijun
;
Lv, Yisheng
;
Tang, Haina
收藏
  |  
浏览/下载:52/0
  |  
提交时间:2022/09/19
Reinforcement learning
Pricing
Heuristic algorithms
Supply and demand
Surges
Vehicle dynamics
Vehicles
Deep reinforcement learning
online ride-hailing system
hierarchical repositioning framework
parallel coordination mechanism
mixed state
Deep patch learning algorithms with high interpretability for regression problems
期刊论文
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2022, 页码: 38
作者:
Huang, Yunhu
;
Chen, Dewang
;
Zhao, Wendi
;
Lv, Yisheng
;
Wang, Shiping
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2022/07/25
deep learning
deep patch learning fuzzy system
fuzzy C-means clustering
interpretability
maximum information coefficient (MIC)
Pearson's correlation coefficients (PCC)
Dsa-PAML: a parallel automated machine learning system via dual-stacked autoencoder
期刊论文
Neural Computing and Applications, 2022, 页码: 1-22
作者:
Liu PJ(刘朋杰)
;
Pan FC(潘福成)
;
Zhou XF(周晓锋)
;
Li S(李帅)
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  |  
浏览/下载:17/0
  |  
提交时间:2022/04/13
Automated machine learning
Parallel automated system
Dual-stacked autoencoder
Selective ensemble
Why Dataset Properties Bound the Scalability of Parallel Machine Learning Training Algorithms
期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2021, 卷号: 32, 期号: 7, 页码: 1702-1712
作者:
Cheng, Daning
;
Li, Shigang
;
Zhang, Hanping
;
Xia, Fen
;
Zhang, Yunquan
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2021/12/01
Training
Scalability
Machine learning
Machine learning algorithms
Stochastic processes
Task analysis
Upper bound
Parallel training algorithms
training dataset
scalability
stochastic optimization methods
Kinematics and workspace analysis of 4SPRR-SPR parallel robots
期刊论文
PLOS ONE, 2021, 卷号: 16, 期号: 1
作者:
Luo, Lan
;
Hou, Li
;
Zhang, Qi
;
Wei, Yongqiao
;
Wu, Yang
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2021/10/14
Pattern recognition of epilepsy using parallel probabilistic neural network
期刊论文
Applied Intelligence, 2021, 页码: 1
作者:
Gong C(龚晨)
;
Zhou XC(周星辰)
;
Niu YY(牛云云)
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2023/06/27
WP-SGD: Weighted parallel SGD for distributed unbalanced-workload training system
期刊论文
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2020, 卷号: 145, 页码: 202-216
作者:
Cheng Daning
;
Li Shigang
;
Zhang Yunquan
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2020/12/10
SGD
Unbalanced workload
SimuParallel SGD
Distributed system
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