learning-classifier-systems

There are 0 repository under learning-classifier-systems topic.

xcsf-dev / xcsf
XCSF learning classifier system: rule-based online evolutionary machine learning
learning-classifier-systems xcsf xcs evolutionary-algorithms reinforcement-learning supervised-learning stochastic-gradient-descent neural-networks neuroevolution unsupervised-learning least-squares genetic-programming machine-learning divide-and-conquer rule-based online-learning artificial-intelligence rule-learning
Language:C 34
ParrotPrediction / pyalcs
Implementation of Anticipatory Learning Classifiers System (ALCS) in Python
python machine-learning reinforcement-learning learning-classifier-systems anticipatory-classifier-systems rule-learning genetic-algorithms
Language:Python 10
ParrotPrediction / openai-envs
OpenAI gym environments for Learning Classifier Systems
openai-gym reinforcement-learning learning-classifier-systems
Language:Python 6
YNU-NakataLab / X-KAN
X-KAN: Optimizing Local Kolmogorov-Arnold Networks via Evolutionary Rule-Based Machine Learning
divide-and-conquer evolutionary-rule-based-machine-learning function-approximation kolmogorov-arnold-networks learning-classifier-systems xcsf
Language:Python 6
darioteixeira / ox
An OCaml implementation of the XCS learning classifier system
learning-classifier-systems ocaml ocaml-multicore xcs
Language:OCaml 3
YNU-NakataLab / XCS-Theory
Learning Optimality Theory for Accuracy-Based Learning Classifier Systems
evolutionary-rule-based-machine-learning learning-classifier-systems xcs
Language:C# 3
azmke / lcs-tictactoe
A tic-tac-toe bot that you cannot defeat, written in JavaScript and based on a learning classifier system.
tic-tac-toe tic-tac-toe-bot bot learning-classifier-systems lcs game automation javascript artificial-intelligence
Language:JavaScript 2
ounold / pyGCS
The repository contains Python code for different versions of Grammar-based Classifier Systems (GCS)
machine-learning-algorithms python learning-classifier-systems grammar-based-classifier-system
Language:Python 2
YNU-NakataLab / Beta4-UCS
Adapting Rule Representation With Four-Parameter Beta Distributions for Learning Classifier Systems
evolutionary-rule-based-machine-learning fuzzy-rules learning-classifier-systems representation-learning
Language:Julia 2
crim-ca / xcs
Extension and tinkering of Accuracy-based Learning Classifier Systems (XCS, http://hosford42.github.io/xcs/ )
learning-classifier-systems reinforcement-learning
Language:Jupyter Notebook 1
transparentai-tech / cognitive-computing
Comprehensive package for cognitive computing technologies like Sparse Distributed Memory, Vector Symbolic Architectures, and much more.
cognitive-computing holographic-reduced-representations learning-classifier-systems sparse-distributed-memory vector-symbolic-architecture semantic-pointer-architecture
Language:Python 1
YNU-NakataLab / jUCS
A Class Inference Scheme With Dempster-Shafer Theory for Learning Fuzzy-Classifier Systems
decision-making-under-uncertainty dempster-shafer-theory evolutionary-rule-based-machine-learning fuzzy-rules learning-classifier-systems
Language:Julia 1