Gradient Descent Methods in Learning Classifier Systems: Improving XCS Performance in Multistep Problems

IEEE Transactions on Evolutionary Computation ◽

10.1109/tevc.2005.850265 ◽

2005 ◽

Vol 9 (5) ◽

pp. 452-473 ◽

Author(s):

M.V. Butz ◽

D.E. Goldberg ◽

P.L. Lanzi

Keyword(s):

Gradient Descent ◽

Learning Classifier Systems ◽

Descent Methods ◽

Classifier Systems ◽

Learning Classifier ◽

Gradient Descent Methods

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Research on Multi-robot Path Planning Methods Based on Learning Classifier System with Gradient Descent Methods

Advances in Intelligent and Soft Computing - Advances in Computer Science and Information Engineering ◽

10.1007/978-3-642-30223-7_37 ◽

2012 ◽

pp. 229-234

Author(s):

Jie Shao ◽

JunPeng Zhang ◽

ChengDong Zhao

Keyword(s):

Path Planning ◽

Gradient Descent ◽

Descent Methods ◽

Robot Path Planning ◽

Learning Classifier System ◽

Classifier System ◽

Learning Classifier ◽

Gradient Descent Methods ◽

Planning Methods ◽

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Robot reinforcement learning accuracy-based learning classifier systems with Fuzzy Policy Gradient descent(XCS-FPGRL)

Proceedings of the 2015 International Conference on Advances in Mechanical Engineering and Industrial Informatics ◽

10.2991/ameii-15.2015.187 ◽

2015 ◽

Author(s):

Jie Shao ◽

Jingru Yu

Keyword(s):

Reinforcement Learning ◽

Gradient Descent ◽

Learning Classifier Systems ◽

Classifier Systems ◽

Learning Classifier ◽

Policy Gradient

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Swarm robots reinforcement learning convergence Accuracy-based learning classifier systems with Gradient descent (XCS-GD)

Proceedings of 2013 3rd International Conference on Computer Science and Network Technology ◽

10.1109/iccsnt.2013.6967341 ◽

2013 ◽

Author(s):

Jie Shao ◽

Haixia Lin ◽

Kaibian Zhang

Keyword(s):

Reinforcement Learning ◽

Gradient Descent ◽

Learning Classifier Systems ◽

Classifier Systems ◽

Learning Classifier ◽

Swarm Robots ◽

Learning Convergence

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Incremental gradient descent imputation method for missing data in learning classifier systems

Proceedings of the 2005 workshops on Genetic and evolutionary computation - GECCO '05 ◽

10.1145/1102256.1102270 ◽

2005 ◽

Author(s):

Daqian Gu ◽

Yang Gao

Keyword(s):

Missing Data ◽

Gradient Descent ◽

Imputation Method ◽

Learning Classifier Systems ◽

Classifier Systems ◽

Learning Classifier ◽

Incremental Gradient Descent

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Swarm robots reinforcement learning convergence accuracy-based learning classifier systems with gradient descent (XCS-GD)

Neural Computing and Applications ◽

10.1007/s00521-013-1503-y ◽

2013 ◽

Vol 25 (2) ◽

pp. 263-268 ◽

Author(s):

Jie Shao ◽

Haixia Lin ◽

Kaibian Zhang

Keyword(s):

Reinforcement Learning ◽

Gradient Descent ◽

Learning Classifier Systems ◽

Classifier Systems ◽

Learning Classifier ◽

Swarm Robots ◽

Learning Convergence

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Absumption to complement subsumption in learning classifier systems

Proceedings of the Genetic and Evolutionary Computation Conference ◽

10.1145/3321707.3321719 ◽

2019 ◽

Author(s):

Yi Liu ◽

Will N. Browne ◽

Bing Xue

Keyword(s):

Learning Classifier Systems ◽

Classifier Systems ◽

Learning Classifier

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Session details: Sixteenth international workshop on learning classifier systems

Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion - GECCO '13 Companion ◽

10.1145/3253587 ◽

2013 ◽

Author(s):

Ryan Urbanowicz ◽

Kamran Shafi ◽

Muhammad Iqbal

Keyword(s):

International Workshop ◽

Learning Classifier Systems ◽

Classifier Systems ◽

Learning Classifier

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Investigation on House Price Prediction with Various Gradient Descent Methods

Journal of Physics Conference Series ◽

10.1088/1742-6596/1827/1/012186 ◽

2021 ◽

Vol 1827 (1) ◽

pp. 012186

Author(s):

Yan Sun

Keyword(s):

Gradient Descent ◽

House Price ◽

Descent Methods ◽

Price Prediction ◽

Gradient Descent Methods

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Hybrid models for suspended sediment prediction: optimized random forest and multi-layer perceptron through genetic algorithm and stochastic gradient descent methods

Neural Computing and Applications ◽

10.1007/s00521-021-06550-1 ◽

2021 ◽

Author(s):

Saeed Samadianfard ◽

Katayoun Kargar ◽

Sadra Shadkani ◽

Sajjad Hashemi ◽

Akram Abbaspour ◽

...

Keyword(s):

Genetic Algorithm ◽

Random Forest ◽

Suspended Sediment ◽

Gradient Descent ◽

Hybrid Models ◽

Stochastic Gradient ◽

Stochastic Gradient Descent ◽

Descent Methods ◽

Multi Layer Perceptron ◽

Gradient Descent Methods

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A Bigger Learning Classifier Systems Bibliography

Advances in Learning Classifier Systems - Lecture Notes in Computer Science ◽

10.1007/3-540-44640-0_14 ◽

2001 ◽

pp. 213-249 ◽

Author(s):

Tim Kovacs ◽

Pier Luca Lanzi

Keyword(s):

Learning Classifier Systems ◽

Classifier Systems ◽

Learning Classifier

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