Wikipedia>Cool-RR: Add MARL

2022-03-26T15:30:22Z

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{{Sidebar with collapsible lists
| name = Machine learning
| pretitle = Part of a series on
| title = [[Machine learning]]<br/>and [[data mining]]
| imagestyle =
| image = [[File:Kernel Machine.svg|frameless|Scatterplot featuring a linear support vector machine's decision boundary (dashed line)]]
| headingstyle =
| titlestyle =
| listtitlestyle = border-top:1px solid #aaa;text-align:center; background:#ddd;
| listclass = hlist
| expanded = {{{expanded|{{{1|none}}}}}}

| list1title = Problems
| list1name = Problems
| list1 =
* [[Statistical classification|Classification]]
* [[Cluster analysis|Clustering]]
* [[Regression analysis|Regression]]
* [[Anomaly detection]]
* [[Data Cleaning]]
* [[Automated machine learning|AutoML]]
* [[Association rule learning|Association rules]]
* [[Reinforcement learning]]
* [[Structured prediction]]
* [[Feature engineering]]
* [[Feature learning]]
* [[Online machine learning|Online learning]]
* [[Semi-supervised learning]]
* [[Unsupervised learning]]
* [[Learning to rank]]
* [[Grammar induction]]

| list2title = {{longitem |[[Supervised learning]]<br/>{{nobold|{{small|('''[[Statistical classification|classification]]'''{{•}}'''[[Regression analysis|regression]]''')}}}} }}
| list2name = Supervised learning
| list2 =
* [[Decision tree learning|Decision trees]]
* [[Ensemble learning|Ensembles]]
** [[Bootstrap aggregating|Bagging]]
** [[Boosting (machine learning)|Boosting]]
** [[Random forest]]
* [[k-nearest neighbors algorithm|''k''-NN]]
* [[Linear regression]]
* [[Naive Bayes classifier|Naive Bayes]]
* [[Artificial neural network]]s
* [[Logistic regression]]
* [[Perceptron]]
* [[Relevance vector machine|Relevance vector machine (RVM)]]
* [[Support-vector machine|Support vector machine (SVM)]]

| list3title = [[Cluster analysis|Clustering]]
| list3name = Clustering
| list3 =
* [[BIRCH]]
* [[CURE algorithm|CURE]]
* [[Hierarchical clustering|Hierarchical]]
* [[k-means clustering|''k''-means]]
* [[Expectation–maximization algorithm|Expectation–maximization (EM)]]
* <br/>[[DBSCAN]]
* [[OPTICS algorithm|OPTICS]]
* [[Mean shift]]

| list4title = [[Dimensionality reduction]]
| list4name = Dimensionality reduction
| list4 =
* [[Factor analysis]]
* [[Canonical correlation|CCA]]
* [[Independent component analysis|ICA]]
* [[Linear discriminant analysis|LDA]]
* [[Non-negative matrix factorization|NMF]]
* [[Principal component analysis|PCA]]
* [[Proper generalized decomposition|PGD]]
* [[t-distributed stochastic neighbor embedding|t-SNE]]

| list5title = [[Structured prediction]]
| list5name = Structured prediction
| list5 =
* [[Graphical model]]s
** [[Bayesian network|Bayes net]]
** [[Conditional random field]]
** [[Hidden Markov model|Hidden Markov]]

| list6title = [[Anomaly detection]]
| list6name = Anomaly detection
| list6 =
* [[K-nearest neighbors algorithm|''k''-NN]]
* [[Local outlier factor]]

| list7title = [[Artificial neural network]]
| list7name = Artificial neural network
| list7 =
* [[Autoencoder]]
* [[Cognitive computing]]
* [[Deep learning]]
* [[DeepDream]]
* [[Multilayer perceptron]]
* [[Recurrent neural network|RNN]]
** [[Long short-term memory|LSTM]]
** [[Gated recurrent unit|GRU]]
** [[Echo state network|ESN]]
* [[Restricted Boltzmann machine]]
* [[Generative adversarial network|GAN]]
* [[Self-organizing map|SOM]]
* [[Convolutional neural network]]
** [[U-Net]]
* [[Transformer (machine learning model)|Transformer]]
** [[Vision transformer|Vision]]
* [[Spiking neural network]]
* [[Memtransistor]]
* [[Electrochemical RAM]] (ECRAM)

| list8title = [[Reinforcement learning]]
| list8name = Reinforcement learning
| list8 =
* [[Q-learning]]
* [[State–action–reward–state–action|SARSA]]
* [[Temporal difference learning|Temporal difference (TD)]]
* [[Multi-agent reinforcement learning|Multi-agent]]

| list9title = Theory
| list9name = Theory
| list9 =
* [[Kernel machines]]
* [[Bias–variance tradeoff]]
* [[Computational learning theory]]
* [[Empirical risk minimization]]
* [[Occam learning]]
* [[Probably approximately correct learning|PAC learning]]
* [[Statistical learning theory|Statistical learning]]
* [[Vapnik–Chervonenkis theory|VC theory]]
| list10title = Machine-learning venues
| list10name = Machine-learning venues
| list10 =
* [[Conference on Neural Information Processing Systems|NeurIPS]]
* [[International Conference on Machine Learning|ICML]]
* [[Machine Learning (journal)|ML]]
* [[Journal of Machine Learning Research|JMLR]]
* [https://arxiv.org/list/cs.LG/recent ArXiv:cs.LG]

| list11title = Related articles
| list11name = Related articles
| list11 =
* [[Glossary of artificial intelligence]]
* [[List of datasets for machine-learning research]]
* [[Outline of machine learning]]

}}<noinclude>
[[Category:Statistics sidebar templates]]
[[Category:Computer science sidebar templates‎]]
</noinclude>

Template:Machine learning - Revision history

Wikipedia>Cool-RR: Add MARL