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Learning to Schedule Control Fragments for Physics-Based Characters Using Deep Q-Learning
ACM Transactions on Graphics
◽
10.1145/3072959.3083723
◽
2017
◽
Vol 36
(4)
◽
pp. 1
◽
Cited By ~ 8
Author(s):
Libin Liu
◽
Jessica Hodgins
Keyword(s):
Schedule Control
◽
Q Learning
Download Full-text
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Cited By
References
Learning to Schedule Control Fragments for Physics-Based Characters Using Deep Q-Learning
ACM Transactions on Graphics
◽
10.1145/3083723
◽
2017
◽
Vol 36
(3)
◽
pp. 1-14
◽
Cited By ~ 27
Author(s):
Libin Liu
◽
Jessica Hodgins
Keyword(s):
Schedule Control
◽
Q Learning
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Learning to schedule control fragments for physics-based characters using deep Q-learning
ACM Transactions on Graphics
◽
10.1145/3072959.3126784
◽
2017
◽
Vol 36
(4)
◽
pp. 1
◽
Cited By ~ 1
Author(s):
Libin Liu
◽
Jessica Hodgins
Keyword(s):
Schedule Control
◽
Q Learning
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Schedule control of the vocal behavior of Cebus monkeys: A progress report
PsycEXTRA Dataset
◽
10.1037/e666672011-232
◽
1969
◽
Author(s):
J. D. Leander
◽
M. A. Milan
◽
K. B. Heaton
◽
K. B. Jasper
◽
A. S. Morris
Keyword(s):
Progress Report
◽
Vocal Behavior
◽
Schedule Control
◽
Cebus Monkeys
Download Full-text
Q-learning based Service Function Chaining using VNF Resource-aware Reward Model
2020 21st Asia-Pacific Network Operations and Management Symposium (APNOMS)
◽
10.23919/apnoms50412.2020.9236975
◽
2020
◽
Cited By ~ 1
Author(s):
Doyoung Lee
◽
Jae-Hyoung Yoo
◽
James Won-Ki Hong
Keyword(s):
Q Learning
◽
Service Function
◽
Resource Aware
Download Full-text
Q-learning Based Radio Channels Utility Evaluation Algorithm for the Local Dynamic Spectrum Management in Mobile Ad-hoc Networks
2020 Baltic URSI Symposium (URSI)
◽
10.23919/ursi48707.2020.9254037
◽
2020
◽
Author(s):
Krzysztof Malon
◽
Jerzy Lopatka
◽
Pawel Skokowski
Keyword(s):
Ad Hoc
◽
Spectrum Management
◽
Dynamic Spectrum
◽
Local Dynamic
◽
Q Learning
◽
Dynamic Spectrum Management
◽
Evaluation Algorithm
◽
Utility Evaluation
◽
Mobile Ad Hoc
◽
Hoc Networks
Download Full-text
Prioritized epoch-incremental Q-learning algorithm
Theoretical and Applied Informatics
◽
10.2478/v10179-012-0008-1
◽
2012
◽
Vol 24
(2)
◽
Cited By ~ 1
Author(s):
Roman Zajdel
Keyword(s):
Learning Algorithm
◽
Q Learning
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Applying Q-Learning in intrusion policy prediction based on preferences on advanced persistent threats
Advances in Management Engineering and Information Technology
◽
10.2495/ameit140841
◽
2015
◽
Author(s):
S.H. Chien
◽
C.S. Ho
◽
C.H. Chen
Keyword(s):
Q Learning
◽
Advanced Persistent Threats
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Q-learning System Based on Cooperative Least Squares Support Vector Machine
ACTA AUTOMATICA SINICA
◽
10.3724/sp.j.1004.2009.00214
◽
2009
◽
Vol 35
(2)
◽
pp. 214-219
◽
Cited By ~ 3
Author(s):
Xue-Song WANG
◽
Xi-Lan TIAN
◽
Yu-Hu CHENG
◽
Jian-Qiang YI
Keyword(s):
Support Vector Machine
◽
Least Squares
◽
Learning System
◽
Support Vector
◽
Q Learning
Download Full-text
Application of improved Q learning algorithm to job shop problem
Journal of Computer Applications
◽
10.3724/sp.j.1087.2008.03268
◽
2009
◽
Vol 28
(12)
◽
pp. 3268-3270
Author(s):
Chao WANG
◽
Jing GUO
◽
Zhen-qiang BAO
Keyword(s):
Job Shop
◽
Learning Algorithm
◽
Q Learning
Download Full-text
New Q-learning based heterogeneous network selection algorithm
Journal of Computer Applications
◽
10.3724/sp.j.1087.2011.01461
◽
2012
◽
Vol 31
(6)
◽
pp. 1461-1464
Author(s):
Yan-qing ZHAO
◽
Qi ZHU
Keyword(s):
Heterogeneous Network
◽
Network Selection
◽
Selection Algorithm
◽
Q Learning
Download Full-text
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