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AI Agents for Sequential Promotions: Combining Deep Reinforcement Learning and Dynamic Field Experimentation
SSRN Electronic Journal
◽
10.2139/ssrn.3487145
◽
2019
◽
Author(s):
Wen Wang
◽
Beibei Li
◽
Xueming Luo
Keyword(s):
Reinforcement Learning
◽
Dynamic Field
◽
Field Experimentation
Download Full-text
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IEEE Access
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10.1109/access.2020.2969277
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2020
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Vol 8
◽
pp. 20597-20606
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Cited By ~ 1
Author(s):
Kourosh Latifi
◽
Artur Kopitca
◽
Quan Zhou
Keyword(s):
Reinforcement Learning
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Model Free
◽
Dynamic Field
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Model Free Control
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Review of Social Psychology in Natural Settings: A Reader in Field Experimentation.
Contemporary Psychology
◽
10.1037/0011781
◽
1973
◽
Vol 18
(11)
◽
pp. 567-567
Author(s):
EDWARD E. JONES
Keyword(s):
Social Psychology
◽
Field Experimentation
◽
Natural Settings
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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
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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
Download Full-text
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