nproellochs / ReinforcementLearningLinks
This package performs model-free reinforcement learning in R. 
☆69Updated 5 years ago
Alternatives and similar repositories for ReinforcementLearning
Users that are interested in ReinforcementLearning are comparing it to the libraries listed below
Sorting:
- An R package implementing Rubin's (1981) Bayesian bootstrap.☆49Updated 6 months ago
- Recurrent Neural Networks in R☆77Updated 2 years ago
- useR! 2019 CVXR tutorial☆29Updated 2 years ago
- ☆38Updated 9 years ago
- Materials from tutorial "Using Stan to Estimate Hierarchical Bayes Models," ART Forum 2017☆56Updated 6 years ago
- Source for CVXR website☆30Updated 11 months ago
- The R package M4comp2018 contains the 100000 time series from the M4-competition (https://www.m4.unic.ac.cy/)☆47Updated 6 years ago
- Slides and code for the 2018 useR! tutorial "Recipes for Data Processing"☆30Updated 7 years ago
- Blog about time series data mining in R.☆74Updated last year
- R Package for Reinforcement Learning☆34Updated 2 years ago
- Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current rel…☆76Updated 11 months ago
- Slides and code for the 2016 useR! tutorial "Never Tell Me the Odds! Machine Learning with Class Imbalances"☆39Updated 9 years ago
- A high-level interface to keras for R that takes advantage of formulas☆50Updated 6 years ago
- A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.☆98Updated 3 years ago
- Deep Reinforcement Learning in R (Deep Q Learning, Policy Gradient, Actor-Critic Method, etc)☆26Updated 6 years ago
- Bayesian comparisons of models using resampled statistics☆102Updated 2 months ago
- Applied time series analysis in R with Stan. Allows fast Bayesian fitting of multivariate time-series models.☆48Updated last year
- An introduction to Bayesian statistics☆75Updated last year
- Define Stan models using glmer-style (lme4) formulas☆55Updated 11 years ago
- Convenient functions for ensemble forecasts in R combining approaches from the {forecast} package☆79Updated 3 years ago
- Composable Preprocessing Operators for MLR☆37Updated 4 months ago
- Machine learning pipelines for R.☆67Updated 8 years ago
- Explain black box with GLM☆23Updated 6 years ago
- Little R utility package for making time series data more machine learning-friendly☆49Updated 5 years ago
- R interface to Google Cloud Machine Learning Engine☆65Updated 2 months ago
- R package cross-validation, bootstrap, permutation, and rolling window resampling techniques for the tidyverse.☆34Updated 7 years ago
- Introduction to Shiny workshop for satRday conference☆25Updated 8 years ago
- R package to interface with OpenML☆99Updated last year
- An R wrapper of SHAP python library☆58Updated 2 years ago
- Graphical tools for analyzing Markov Chain Monte Carlo simulations from Bayesian inference☆112Updated 3 weeks ago