Leader–Follower Bipartite Output Synchronization on Signed Digraphs Under Adversarial Factors via Data-Based Reinforcement Learning

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2019.2952611 ◽

2020 ◽

Vol 31 (10) ◽

pp. 4185-4195

Author(s):

Qing Li ◽

Lina Xia ◽

Ruizhuo Song ◽

Jian Liu

Keyword(s):

Reinforcement Learning ◽

Output Synchronization ◽

Signed Digraphs

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Bipartite output synchronization of heterogeneous multiagent systems on signed digraphs

International Journal of Robust and Nonlinear Control ◽

10.1002/rnc.4118 ◽

2018 ◽

Vol 28 (13) ◽

pp. 4017-4031 ◽

Author(s):

Shan Zuo ◽

Frank L. Lewis ◽

Yongduan Song ◽

Ali Davoudi

Keyword(s):

Multiagent Systems ◽

Output Synchronization ◽

Signed Digraphs

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Optimal model-free output synchronization of heterogeneous systems using off-policy reinforcement learning

10.1016/j.automatica.2016.05.017 ◽

2016 ◽

Vol 71 ◽

pp. 334-341 ◽

Author(s):

Hamidreza Modares ◽

Subramanya P. Nageshrao ◽

Gabriel A. Delgado Lopes ◽

Robert Babuška ◽

Frank L. Lewis

Keyword(s):

Reinforcement Learning ◽

Heterogeneous Systems ◽

Optimal Model ◽

Output Synchronization

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Leader–Follower Output Synchronization of Linear Heterogeneous Systems With Active Leader Using Reinforcement Learning

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2018.2803059 ◽

2018 ◽

Vol 29 (6) ◽

pp. 2139-2153 ◽

Author(s):

Yongliang Yang ◽

Hamidreza Modares ◽

Donald C. Wunsch ◽

Yixin Yin

Keyword(s):

Reinforcement Learning ◽

Heterogeneous Systems ◽

Output Synchronization ◽

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Off-policy reinforcement learning for distributed output synchronization of linear multi-agent systems

2017 IEEE Symposium Series on Computational Intelligence (SSCI) ◽

10.1109/ssci.2017.8280830 ◽

2017 ◽

Author(s):

Bahare Kiumarsi ◽

Frank L. Lewis

Keyword(s):

Reinforcement Learning ◽

Multi Agent Systems ◽

Agent Systems ◽

Output Synchronization ◽

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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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