Downlink Scheduling in LTE with Deep Reinforcement Learning, LSTMs and Pointers

2020 ◽

Author(s):

Nikhilesh Sharma ◽

Sen Zhang ◽

Someshwar Rao Somayajula Venkata ◽

Filippo Malandra ◽

Nicholas Mastronarde ◽

...

Keyword(s):

Reinforcement Learning ◽

Downlink Scheduling ◽

Delay Sensitive

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A Reinforcement Learning Technique for Optimizing Downlink Scheduling in an Energy-Limited Vehicular Network

IEEE Transactions on Vehicular Technology ◽

10.1109/tvt.2016.2622180 ◽

2017 ◽

Vol 66 (6) ◽

pp. 4592-4601 ◽

Cited By ~ 25

Author(s):

Ribal F. Atallah ◽

Chadi M. Assi ◽

Jia Yuan Yu

Keyword(s):

Reinforcement Learning ◽

Vehicular Network ◽

Downlink Scheduling ◽

Learning Technique

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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 ◽

Cited By ~ 1

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 ◽

Cited By ~ 14

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 ◽

Two Stage

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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

CICTP 2020 ◽

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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Multi-Agent Deep Reinforcement Learning for Decentralized Cooperative Traffic Signal Control

CICTP 2020 ◽

10.1061/9780784483053.039 ◽

2020 ◽

Author(s):

Yang Zhao ◽

Jian-Ming Hu ◽

Ming-Yang Gao ◽

Zuo Zhang

Keyword(s):

Reinforcement Learning ◽

Traffic Signal ◽

Signal Control ◽

Traffic Signal Control ◽

Multi Agent

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Downlink Scheduling in LTE with Deep Reinforcement Learning, LSTMs and Pointers

Deep Reinforcement Learning for Delay-Sensitive LTE Downlink Scheduling

A Reinforcement Learning Technique for Optimizing Downlink Scheduling in an Energy-Limited Vehicular Network

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

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

Analogical Reinforcement Learning With Two-Stage Memory Retrieval

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

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

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

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

Multi-Agent Deep Reinforcement Learning for Decentralized Cooperative Traffic Signal Control

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