Synergies Between Reinforcement Learning and Evolutionary Dynamic Optimisation

Artificial Life and Intelligent Agents - Communications in Computer and Information Science ◽

10.1007/978-3-319-90418-4_7 ◽

2018 ◽

pp. 91-96 ◽

Cited By ~ 1

Author(s):

Aman Soni ◽

Peter R. Lewis ◽

Anikó Ekárt

Keyword(s):

Reinforcement Learning ◽

Evolutionary Dynamic ◽

Dynamic Optimisation

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On the role of modularity in evolutionary dynamic optimisation

IEEE Congress on Evolutionary Computation ◽

10.1109/cec.2010.5586554 ◽

2010 ◽

Cited By ~ 4

Author(s):

Philipp Rohlfshagen ◽

Xin Yao

Keyword(s):

Evolutionary Dynamic ◽

Dynamic Optimisation

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Considering flexibility in the evolutionary dynamic optimisation of airport security lane schedules

2017 IEEE Symposium Series on Computational Intelligence (SSCI) ◽

10.1109/ssci.2017.8285177 ◽

2017 ◽

Author(s):

Darren M. Chitty ◽

Shengxiang Yang ◽

Mario Gongora

Keyword(s):

Airport Security ◽

Evolutionary Dynamic ◽

Dynamic Optimisation

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Evolutionary dynamic optimisation of airport security lane schedules

2016 IEEE Symposium Series on Computational Intelligence (SSCI) ◽

10.1109/ssci.2016.7849966 ◽

2016 ◽

Cited By ~ 3

Author(s):

Darren M. Chitty ◽

Mario Gongora ◽

Shengxiang Yang

Keyword(s):

Airport Security ◽

Evolutionary Dynamic ◽

Dynamic Optimisation

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Robustness and Evolutionary Dynamic Optimisation of Airport Security Schedules

Recent Advances in Soft Computing - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-319-97888-8_3 ◽

2018 ◽

pp. 27-39

Author(s):

Darren M. Chitty ◽

Shengxiang Yang ◽

Mario Gongora

Keyword(s):

Airport Security ◽

Evolutionary Dynamic ◽

Dynamic Optimisation

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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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