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knitr::opts_chunk$set( collapse = TRUE, comment = "#>" )
library(contextual) policy <- EpsilonGreedyPolicy$new(epsilon = 0.1) bandit <- BasicBernoulliBandit$new(weights = c(0.6, 0.1, 0.1)) agent <- Agent$new(policy,bandit) simulator <- Simulator$new(agents = agent, horizon = 100, simulations = 1000) history <- simulator$run() plot(history, type = "cumulative", regret = TRUE, disp = "ci", traces_max = 100, traces_alpha = 0.1, traces = TRUE)
summary(history)
Agents: EpsilonGreedy Cumulative regret: agent t sims cum_regret cum_regret_var cum_regret_sd EpsilonGreedy 100 1000 8.951 116.7133 10.80339 Cumulative reward: agent t sims cum_reward cum_reward_var cum_reward_sd EpsilonGreedy 100 1000 51.09 141.6215 11.90048 Cumulative reward rate: agent t sims cur_reward cur_reward_var cur_reward_sd EpsilonGreedy 100 1000 0.5109 1.416215 0.1190048
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