# Vignettes and other documentation

## Vignettes from package 'contextual'

contextual::cmabs |  | Demo: Basic Synthetic cMAB Policies | HTML | source | R code
contextual::cmabsoffline |  | Demo: Offline cMAB LinUCB evaluation | HTML | source | R code
contextual::eckles_kaptein |  | Demo: MAB Replication Eckles & Kaptein (Bootstrap Thompson Sampling) | HTML | source | R code
contextual::epsilongreedy |  | Demo: Basic Epsilon Greed | HTML | source | R code
contextual::introduction |  | Getting started: running simulations | HTML | source | R code
contextual::mabs |  | Demo: MAB Policies Comparison | HTML | source | R code
contextual::ml10m |  | Demo: MovieLens 10M Dataset | HTML | source | R code
contextual::offline_depaul_movies |  | Demo: Offline cMAB: CarsKit DePaul Movie Dataset | HTML | source | R code
contextual::replication |  | Offline evaluation: Replication of Li et al 2010 | HTML | source | R code
contextual::simpsons |  | Demo: Bandits, Propensity Weighting & Simpson's Paradox in R | HTML | source | R code
contextual::sutton_barto |  | Demo: Replication Sutton & Barto, Reinforcement Learning: An Introduction, Chapter 2 | HTML | source | R code
contextual::website_optimization |  | Demo: Replication of John Myles White, Bandit Algorithms for Website Optimization | HTML | source | R code