Reinforcement Learning: Insights from Interesting Failures in Parameter Selection

Parallel Problem Solving from Nature – PPSN X - Lecture Notes in Computer Science ◽

10.1007/978-3-540-87700-4_48 ◽

2008 ◽

pp. 478-487 ◽

Author(s):

Wolfgang Konen ◽

Thomas Bartz–Beielstein

Keyword(s):

Reinforcement Learning ◽

Parameter Selection

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Active exploration for robot parameter selection in episodic reinforcement learning

2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL) ◽

10.1109/adprl.2011.5967378 ◽

2011 ◽

Author(s):

Oliver Kroemer ◽

Jan Peters

Keyword(s):

Reinforcement Learning ◽

Parameter Selection ◽

Active Exploration

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A Parameter Selection Method Based on Reinforcement Learning: The QoS-Privacy Trade-off for Adversarial Training Framework

Advances in Artificial Intelligence and Security - Communications in Computer and Information Science ◽

10.1007/978-3-030-78615-1_30 ◽

2021 ◽

pp. 338-350

Author(s):

Junping Wan ◽

Zhiqiang Cao ◽

Ying Ma ◽

Gaohua Zhao ◽

Zhe Sun

Keyword(s):

Reinforcement Learning ◽

Selection Method ◽

Parameter Selection ◽

Trade Off ◽

Adversarial Training

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Adaptive Parameter Selection in Evolutionary Algorithms by Reinforcement Learning with Dynamic Discretization of Parameter Range

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion - GECCO '16 Companion ◽

10.1145/2908961.2908998 ◽

2016 ◽

Author(s):

Arkady Rost ◽

Irina Petrova ◽

Arina Buzdalova

Keyword(s):

Reinforcement Learning ◽

Evolutionary Algorithms ◽

Parameter Selection ◽

Parameter Range ◽

Adaptive Parameter

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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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A Collaborative Scheduling Lane Changing Model for Intelligent Connected Vehicles Based on Deep Reinforcement Learning

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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