Virtual Markets: Q-Learning Sellers with Simple State Representation

Autonomous Intelligent Systems: Multi-Agents and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-540-72839-9_16 ◽

2007 ◽

pp. 192-205

Author(s):

Natalia Akchurina ◽

Hans Kleine Büning

Keyword(s):

State Representation ◽

Q Learning

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Hierarchical State Representation and Action Abstractionsin Q-Learning for Agent-Based Herding

International Journal of Information and Electronics Engineering ◽

10.7763/ijiee.2012.v2.156 ◽

2012 ◽

Cited By ~ 1

Author(s):

Tao Mao

Keyword(s):

State Representation ◽

Agent Based ◽

Q Learning

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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

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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

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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

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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

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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

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Prediction of multivariate probabilistic systems based on predictive state representation

Journal of Computer Applications ◽

10.3724/sp.j.1087.2012.03044 ◽

2013 ◽

Vol 32 (11) ◽

pp. 3044-3046

Author(s):

Qing-miao WANG ◽

Shi-guang JU

Keyword(s):

State Representation ◽

Probabilistic Systems ◽

Predictive State Representation

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Q-Learning Based Sensing Task Management Algorithm for Cognitive Radio Systems

JOURNAL OF ELECTRONICS INFORMATION TECHNOLOGY ◽

10.3724/sp.j.1146.2009.00296 ◽

2010 ◽

Vol 32 (3) ◽

pp. 623-628 ◽

Cited By ~ 1

Author(s):

Mo Li ◽

You-yun Xu ◽

Yue-ming Cai

Keyword(s):

Cognitive Radio ◽

Task Management ◽

Q Learning ◽

Management Algorithm ◽

Cognitive Radio Systems ◽

Radio Systems

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