Alternatives and similar repositories for ReinforcementLearning

Users that are interested in ReinforcementLearning are comparing it to the libraries listed below

• bquast / rnn
  Recurrent Neural Networks in R
  ☆77Updated 2 years ago
• cnaumzik / caffeR
  ☆38Updated 9 years ago
• rasmusab / bayesboot
  An R package implementing Rubin's (1981) Bayesian bootstrap.
  ☆49Updated 5 months ago
• carlanetto / M4comp2018
  The R package M4comp2018 contains the 100000 time series from the M4-competition (https://www.m4.unic.ac.cy/)
  ☆47Updated 6 years ago
• markusdumke / reinforcelearn
  R Package for Reinforcement Learning
  ☆34Updated 2 years ago
• bnaras / cvxr_docs
  Source for CVXR website
  ☆30Updated 9 months ago
• openml / openml-r
  R package to interface with OpenML
  ☆99Updated last year
• boost-R / mboost
  Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current rel…
  ☆75Updated 9 months ago
• tidymodels / tidyposterior
  Bayesian comparisons of models using resampled statistics
  ☆102Updated last month
• mlr-org / mlrCPO
  Composable Preprocessing Operators for MLR
  ☆37Updated 2 months ago
• rstudio / tfestimators
  R interface to TensorFlow Estimators
  ☆58Updated last week
• AlexIoannides / pipeliner
  Machine learning pipelines for R.
  ☆67Updated 8 years ago
• config-i1 / smooth
  The set of functions used for time series analysis and in forecasting.
  ☆93Updated last week
• rdrr1990 / kerasformula
  A high-level interface to keras for R that takes advantage of formulas
  ☆50Updated 6 years ago
• dalpozz / unbalanced
  Package that implements several techniques to re-balance or remove noisy instances in unbalanced datasets.
  ☆32Updated 3 years ago
• bnaras / cvxr_tutorial
  useR! 2019 CVXR tutorial
  ☆28Updated 2 years ago
• STATWORX / bounceR
  Automated Feature Selection
  ☆65Updated 6 years ago
• bgreenwell / pdp
  A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.
  ☆98Updated 3 years ago
• patperry / r-mbest
  Moment-Based Estimation for Hierarchical Models (R Package)
  ☆25Updated 4 months ago
• luca-scr / GA
  An R package for optimization using genetic algorithms
  ☆93Updated 11 months ago
• ModelOriented / shapper
  An R wrapper of SHAP python library
  ☆58Updated 2 years ago
• patr1ckm / mvtboost
  Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.
  ☆36Updated 7 years ago
• ksvanhorn / ART-Forum-2017-Stan-Tutorial
  Materials from tutorial "Using Stan to Estimate Hierarchical Bayes Models," ART Forum 2017
  ☆56Updated 6 years ago
• yanyachen / rBayesianOptimization
  Bayesian Optimization of Hyperparameters
  ☆87Updated last year
• aboulaboul / automl
  Deep Learning with Metaheuristic
  ☆28Updated 5 years ago
• ymattu / MlBayesOpt
  R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with g…
  ☆48Updated 5 years ago
• schalkdaniel / compboost
  C++ implementation and R API for componentwise boosting
  ☆23Updated 2 years ago
• mlr-org / mlr3tuning
  Hyperparameter optimization package of the mlr3 ecosystem
  ☆58Updated 2 weeks ago
• PetoLau / petolau.github.io
  Blog about time series data mining in R.
  ☆74Updated last year
• rstudio / tfprobability
  R interface to TensorFlow Probability
  ☆55Updated last week