Deep Reinforcement Learning for Demand-Aware Joint VNF Placement-and-Routing

2019 IEEE Globecom Workshops (GC Wkshps) ◽

10.1109/gcwkshps45667.2019.9024688 ◽

2019 ◽

Author(s):

Shaoyang Wang ◽

Tiejun Lv

Keyword(s):

Reinforcement Learning ◽

Placement And Routing

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Deep Reinforcement Learning for BBU Placement and Routing in C-RAN

Optical Fiber Communication Conference (OFC) 2019 ◽

10.1364/ofc.2019.w2a.22 ◽

2019 ◽

Author(s):

Zhengguang Gao ◽

Jiawei Zhang ◽

Shuangyi Yan ◽

Yuming Xiao ◽

Dimitra Simeonidou ◽

...

Keyword(s):

Reinforcement Learning ◽

Placement And Routing

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Placement and routing for 3D-FPGAs using reinforcement learning and support vector machines

18th International Conference on VLSI Design held jointly with 4th International Conference on Embedded Systems Design ◽

10.1109/icvd.2005.137 ◽

2005 ◽

Author(s):

R. Manimegalai ◽

E. Siva Soumya ◽

V. Muralidharan ◽

B. Ravindran ◽

V. Kamakoti ◽

...

Keyword(s):

Reinforcement Learning ◽

Support Vector Machines ◽

Support Vector ◽

Vector Machines ◽

Placement And Routing

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Deep Reinforcement Learning-based Policy for Baseband Function Placement and Routing of RAN in 5G and Beyond

Journal of Lightwave Technology ◽

10.1109/jlt.2021.3110788 ◽

2021 ◽

pp. 1-1

Author(s):

Zhengguang Gao ◽

Shuangyi Yan ◽

Jiawei Zhang ◽

Bingtao Han ◽

Yongcheng Wang ◽

...

Keyword(s):

Reinforcement Learning ◽

Placement And Routing

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Supplemental Material for Reconciling Reinforcement Learning Models With Behavioral Extinction and Renewal: Implications for Addiction, Relapse, and Problem Gambling

Psychological Review ◽

10.1037/0033-295x.114.3.784.supp ◽

2007 ◽

Keyword(s):

Reinforcement Learning ◽

Problem Gambling ◽

Learning Models ◽

Behavioral Extinction ◽

Reinforcement Learning Models

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Bayes factors for reinforcement-learning models of the Iowa gambling task.

Decision ◽

10.1037/dec0000040 ◽

2016 ◽

Vol 3 (2) ◽

pp. 115-131 ◽

Author(s):

Helen Steingroever ◽

Ruud Wetzels ◽

Eric-Jan Wagenmakers

Keyword(s):

Reinforcement Learning ◽

Iowa Gambling Task ◽

Bayes Factors ◽

Gambling Task ◽

Learning Models ◽

Reinforcement Learning Models

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Analogical Reinforcement Learning With Two-Stage Memory Retrieval

PsycEXTRA Dataset ◽

10.1037/e528942014-705 ◽

2014 ◽

Author(s):

James Foster ◽

Matt Jones

Keyword(s):

Reinforcement Learning ◽

Memory Retrieval ◽

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Effects of Working Memory Capacity on the Speed and Accuracy of Learning in Reinforcement Learning Models

PsycEXTRA Dataset ◽

10.1037/e528942014-552 ◽

2014 ◽

Author(s):

Adnane Ez-Zizi ◽

Simon Farrell ◽

David Leslie

Keyword(s):

Working Memory ◽

Reinforcement Learning ◽

Working Memory Capacity ◽

Memory Capacity ◽

Learning Models ◽

Reinforcement Learning Models ◽

Speed And Accuracy

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Supplemental Material for Reinforcement Learning Models of Risky Choice and the Promotion of Risk-Taking by Losses Disguised as Wins in Rats

Journal of Experimental Psychology Animal Learning and Cognition ◽

10.1037/xan0000141.supp ◽

2017 ◽

Keyword(s):

Reinforcement Learning ◽

Risk Taking ◽

Risky Choice ◽

Learning Models ◽

Losses Disguised As Wins ◽

Reinforcement Learning Models

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Reinforcement learning of irrelevant stimulus-response associations modulates cognitive control.

Journal of Experimental Psychology Learning Memory and Cognition ◽

10.1037/xlm0000850 ◽

2020 ◽

Author(s):

Jinglu Chen ◽

Ling Tan ◽

Lu Liu ◽

Ling Wang

Keyword(s):

Reinforcement Learning ◽

Cognitive Control ◽

Irrelevant Stimulus ◽

Stimulus Response

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A Collaborative Scheduling Lane Changing Model for Intelligent Connected Vehicles Based on Deep Reinforcement Learning

10.1061/9780784483053.178 ◽

2020 ◽

Author(s):

Zheyu Cui ◽

Jianming Hu

Keyword(s):

Reinforcement Learning ◽

Connected Vehicles ◽

Lane Changing ◽

Collaborative Scheduling

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