Complex-Valued Reinforcement Learning: a Context-Based Approach for POMDPs

Complex-valued reinforcement learning with hierarchical architecture

2010 IEEE International Conference on Systems, Man and Cybernetics ◽

10.1109/icsmc.2010.5642266 ◽

2010 ◽

Cited By ~ 2

Author(s):

Atsuhiro Yamazaki ◽

Tomoki Hamagami ◽

Takeshi Shibuya

Keyword(s):

Reinforcement Learning ◽

Hierarchical Architecture ◽

Complex Valued

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Coordinated Complex-Valued Encoding Dragonfly Algorithm and Artificial Emotional Reinforcement Learning for Coordinated Secondary Voltage Control and Automatic Voltage Regulation in Multi-Generator Power Systems

IEEE Access ◽

10.1109/access.2020.3028064 ◽

2020 ◽

Vol 8 ◽

pp. 180520-180533

Author(s):

Linfei Yin ◽

Shikui Luo ◽

Yaoxiong Wang ◽

Fang Gao ◽

Jun Yu

Keyword(s):

Reinforcement Learning ◽

Power Systems ◽

Voltage Control ◽

Voltage Regulation ◽

Dragonfly Algorithm ◽

Secondary Voltage ◽

Complex Valued

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Experimental study of the eligibility traces in complex valued reinforcement learning

2007 IEEE International Conference on Systems, Man and Cybernetics ◽

10.1109/icsmc.2007.4413989 ◽

2007 ◽

Author(s):

Takeshi Shibuya ◽

Shingo Shimada ◽

Tomoki Hamagami

Keyword(s):

Experimental Study ◽

Reinforcement Learning ◽

Complex Valued

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Complex-Valued Reinforcement Learning

2006 IEEE International Conference on Systems, Man and Cybernetics ◽

10.1109/icsmc.2006.384789 ◽

2006 ◽

Cited By ~ 6

Author(s):

Tomoki Hamagami ◽

Takashi Shibuya ◽

Shingo Shimada

Keyword(s):

Reinforcement Learning ◽

Complex Valued

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Reinforcement learning in continuous state space with perceptual aliasing by using complex-valued RBF network

2010 IEEE International Conference on Systems, Man and Cybernetics ◽

10.1109/icsmc.2010.5642294 ◽

2010 ◽

Cited By ~ 1

Author(s):

Takeshi Shibuya ◽

Hideaki Arita ◽

Tomoki Hamagami

Keyword(s):

Reinforcement Learning ◽

State Space ◽

Rbf Network ◽

Perceptual Aliasing ◽

Continuous State Space ◽

Continuous State ◽

Complex Valued

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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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