Pruning Dominated Policies in Multiobjective Pareto Q-Learning

Advances in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-030-00374-6_23 ◽

2018 ◽

pp. 240-250

Author(s):

Lawrence Mandow ◽

José-Luis Pérez-de-la-Cruz

Keyword(s):

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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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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Finding Best Answers for the Iterated Prisoner’s Dilemma Using Improved Q-Learning

SSRN Electronic Journal ◽

10.2139/ssrn.3556714 ◽

2020 ◽

Author(s):

Martin Kies

Keyword(s):

Prisoner's Dilemma ◽

Prisoner’S Dilemma ◽

Q Learning ◽

Iterated Prisoner's Dilemma ◽

Iterated Prisoner’S Dilemma

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Off-Policy Q-Learning for Anti-Interference Control of Multi-Player Systems

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2020.12.2180 ◽

2020 ◽

Vol 53 (2) ◽

pp. 9189-9194

Author(s):

Jinna Li ◽

Zhenfei Xiao ◽

Tianyou Chai ◽

Frank. L. Lewis ◽

Sarangapani Jagannathan

Keyword(s):

Interference Control ◽

Q Learning

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