UAV Autonomous Target Search Based on Deep Reinforcement Learning in Complex Disaster Scene

IEEE Access ◽

10.1109/access.2019.2933002 ◽

2019 ◽

Vol 7 ◽

pp. 117227-117245 ◽

Author(s):

Chunxue Wu ◽

Bobo Ju ◽

Yan Wu ◽

Xiao Lin ◽

Naixue Xiong ◽

...

Keyword(s):

Reinforcement Learning ◽

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Multi-Agent Cooperative Target Search Based on Reinforcement Learning

Journal of Physics Conference Series ◽

10.1088/1742-6596/1549/2/022104 ◽

2020 ◽

Vol 1549 ◽

pp. 022104

Author(s):

Xudong Qin ◽

Xiaomao Li ◽

Yuan Liu ◽

Rui Zhou ◽

Jiajia Xie

Keyword(s):

Reinforcement Learning ◽

Target Search ◽

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Target Search Control of AUV in Underwater Environment With Deep Reinforcement Learning

IEEE Access ◽

10.1109/access.2019.2929120 ◽

2019 ◽

Vol 7 ◽

pp. 96549-96559 ◽

Author(s):

Xiang Cao ◽

Changyin Sun ◽

Mingzhong Yan

Keyword(s):

Reinforcement Learning ◽

Target Search ◽

Underwater Environment ◽

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Potential field hierarchical reinforcement learning approach for target search by multi-AUV in 3-D underwater environments

International Journal of Control ◽

10.1080/00207179.2018.1526414 ◽

2018 ◽

Vol 93 (7) ◽

pp. 1677-1683 ◽

Author(s):

Xiang Cao ◽

Hongbing Sun ◽

Liqiang Guo

Keyword(s):

Reinforcement Learning ◽

Potential Field ◽

Learning Approach ◽

Target Search ◽

Hierarchical 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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Identifying and reducing satisfaction-of-search errors: How to alleviate dual-target search costs

PsycEXTRA Dataset ◽

10.1037/e520592012-022 ◽

2010 ◽

Author(s):

Stephen R. Mitroff ◽

Kait Clark ◽

Matthew S. Cain

Keyword(s):

Search Costs ◽

Target Search ◽

Satisfaction Of Search ◽

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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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Dual target search: Attention tuned to relative features, both within and across feature dimensions.

Journal of Experimental Psychology Human Perception & Performance ◽

10.1037/xhp0000851 ◽

2020 ◽

Vol 46 (11) ◽

pp. 1368-1386

Author(s):

Ashley A. York ◽

David K. Sewell ◽

Stefanie I. Becker

Keyword(s):

Target Search ◽

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