×
验证码:
换一张
忘记密码?
记住我
CORC
首页
科研机构
检索
知识图谱
申请加入
托管服务
登录
注册
在结果中检索
科研机构
自动化研究所 [9]
北京航空航天大学 [2]
武汉大学 [2]
中国石油大学(北京) [2]
沈阳自动化研究所 [2]
兰州理工大学 [1]
更多...
内容类型
期刊论文 [13]
会议论文 [5]
发表日期
2023 [2]
2022 [5]
2021 [3]
2019 [4]
2018 [4]
×
知识图谱
CORC
开始提交
已提交作品
待认领作品
已认领作品
未提交全文
收藏管理
QQ客服
官方微博
反馈留言
浏览/检索结果:
共18条,第1-10条
帮助
已选(
0
)
清除
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
作者升序
作者降序
题名升序
题名降序
发表日期升序
发表日期降序
提交时间升序
提交时间降序
Enhancing Short Track Speed Skating Performance through Improved DDQN Tactical Decision Model
期刊论文
SENSORS, 2023, 卷号: 23, 期号: 24, 页码: 12
作者:
Yang, Yuanbo
;
Li, Feimo
;
Chang, Hongxing
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/02/22
short track speed skating
deep reinforcement learning
decision-making method
deep Q-network
competition performance improvement
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
Picking out the Impurities: Attention-based Push-Grasping in Dense Clutter
期刊论文
ROBOTICA, 2022, 页码: 16
作者:
Lu, Ning
;
Cai, Yinghao
;
Lu, Tao
;
Cao, Xiaoge
;
Guo, Weiyan
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2022/06/10
saliency Detection
robot Learning
push-grasp
target-oriented Grasping
deep Q Network
Online Minimax Q Network Learning for Two-Player Zero-Sum Markov Games
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 3, 页码: 1228-1241
作者:
Zhu, Yuanheng
;
Zhao, Dongbin
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2022/06/10
Games
Nash equilibrium
Mathematical model
Markov processes
Convergence
Dynamic programming
Training
Deep reinforcement learning (DRL)
generalized policy iteration (GPI)
Markov game (MG)
Nash equilibrium
Q network
zero sum
Prioritized Experience Replay based on Multi-armed Bandit
期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2022, 卷号: 189
作者:
Liu, Ximing
;
Zhu, Tianqing
;
Jiang, Cuiqing
;
Ye, Dayong
;
Zhao, Fuqing
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2022/03/01
Deep reinforcement learning
Q-learning
Deep Q-network
Experience replay
Multi-armed Bandit
Collaborative Pushing and Grasping of Tightly Stacked Objects via Deep Reinforcement Learning
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 1, 页码: 135-145
作者:
Yuxiang Yang
;
Zhihao Ni
;
Mingyu Gao
;
Jing Zhang
;
Dacheng Tao
收藏
  |  
浏览/下载:110/0
  |  
提交时间:2021/11/03
Convolutional neural network
deep Q-learning (DQN)
reward function
robotic grasping
robotic pushing
Satellite Integration into 5G: Deep Reinforcement Learning for Network Selection
期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 页码: 127-137
作者:
Emanuele De Santis, Alessandro Giuseppi, Antonio Pietrabissa, Michael Capponi, Francesco Delli Priscoli
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2022/03/29
Network selection
HetNet
deep reinforcement learning
deep-Q-network (DQN)
5G communications
Learning Control for Air Conditioning Systems via Human Expressions
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2021, 卷号: 68, 期号: 8, 页码: 7662-7671
作者:
Wei, Qinglai
;
Li, Tao
;
Liu, Derong
收藏
  |  
浏览/下载:58/0
  |  
提交时间:2021/06/15
Adaptive dynamic programming
air conditioning control
deep learning (DL)
deep Q-network (DQN)
human expressions
optimal control
reinforcement learning (RL)
Q-learning
Real-time path planning and following of a gliding robotic dolphin within a hierarchical framework
期刊论文
IEEE Transactions on Vehicular Technology, 2021, 卷号: 70, 期号: 4, 页码: 3243-3255
作者:
Wang Jian(王健)
;
Wu Zhengxing
;
Yan Shuaizheng
;
Tan Min
;
Yu Junzhi
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2021/06/04
Adaptive backstepping
hierarchical deep q-network
path following
path planning
underwater robot
Intelligent Scheduling for Permutation Flow Shop with Dynamic Job Arrival via Deep Reinforcement Learning
会议论文
Chongqing, China, March 12-14, 2021
作者:
Yang SL(杨圣落)
;
Xu ZG(徐志刚)
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2021/05/10
dynamic scheduling
deep reinforcement learning
PFSP
deep Q network (DQN)
intelligent scheduling
dynamic job arrival
©版权所有 ©2017 CSpace - Powered by
CSpace