UAV path design with connectivity constraint based on deep reinforcement learning

Physical Communication ◽

10.1016/j.phycom.2021.101582 ◽

2022 ◽

pp. 101582

Author(s):

Lin Yu ◽

Fahui Wu ◽

Zhihai Xu ◽

Zhigang Xie ◽

Dingcheng Yang

Keyword(s):

Reinforcement Learning ◽

Path Design ◽

Connectivity Constraint

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Communication-Aware Path Design for Indoor Robots Exploiting Federated Deep Reinforcement Learning

10.1109/pimrc50174.2021.9569440 ◽

2021 ◽

Author(s):

Ruyu Luo ◽

Hui Tian ◽

Wanli Ni

Keyword(s):

Reinforcement Learning ◽

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Cellular-Connected UAV Trajectory Design with Connectivity Constraint: A Deep Reinforcement Learning Approach

IEEE Transactions on Green Communications and Networking ◽

10.1109/tgcn.2021.3073916 ◽

2021 ◽

pp. 1-1

Author(s):

Yunfei Gao ◽

Lin Xiao ◽

Fahui Wu ◽

Dingcheng Yang ◽

Zhongxiang Sun

Keyword(s):

Reinforcement Learning ◽

Learning Approach ◽

Trajectory Design ◽

Connectivity Constraint

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Path Design for Cellular-Connected UAV with Reinforcement Learning

2019 IEEE Global Communications Conference (GLOBECOM) ◽

10.1109/globecom38437.2019.9014041 ◽

2019 ◽

Author(s):

Yong Zeng ◽

Xiaoli Xu

Keyword(s):

Reinforcement Learning ◽

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Connectivity-Aware 3D UAV Path Design with Deep Reinforcement Learning

IEEE Transactions on Vehicular Technology ◽

10.1109/tvt.2021.3121747 ◽

2021 ◽

pp. 1-1

Author(s):

Hao Xie ◽

Dingcheng Yang ◽

Lin Xiao ◽

Jiangbin Lyu

Keyword(s):

Reinforcement Learning ◽

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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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