From 7f3fa001f9e6ab0b363d75ae265d4e17bb640898 Mon Sep 17 00:00:00 2001 From: Adrien <adrien.payen@student.uclouvain.be> Date: Sun, 19 May 2024 11:15:47 +0200 Subject: [PATCH] update readme --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 1b689a5..3c682cd 100644 --- a/README.md +++ b/README.md @@ -32,7 +32,7 @@ This **validation.py** file defines a **class validation** in which we create di ### 4. plot.py -This code allows different graphs to compare the results obtained from the strategies. 4 graphs can be printed via 4 different functions depending on a layout: **plot_strategy_comparison**, **plot_state_based_turns**, **plot_state_based_comparison**,**plot_state_based_comparison_once**. The layout used to compare our strategies is this: layout = [0, 0, 3, 0, 0, 0, 0, 2, 0, 0, 0, 3, 0, 0, 1, 0]. The **plot_strategy_comparison** function allows comparing different strategies based on their average turns on a histogram. The **plot_state_based_turns** function returns a graph to compare the average turn for each state. The **plot_state_based_comparison** function was implemented in order to compare the Value Iteration algorithm (theorical cost) and different simulations (empirical cost: 100, 10.000 and 1000.000) to show the accuracy obtained as a function of the number of simulations. Finally, the **plot_state_based_comparison_once** function compares the theorical cost and the empirical cost based on a number of defined simulations. +This code allows different graphs to compare the results obtained from the strategies. 4 graphs can be printed via 4 different functions depending on a layout: **plot_strategy_comparison**, **plot_state_based_turns**, **plot_state_based_comparison**, **plot_state_based_comparison_once**. The layout used to compare our strategies is this: layout = [0, 0, 3, 0, 0, 0, 0, 2, 0, 0, 0, 3, 0, 0, 1, 0]. The **plot_strategy_comparison** function allows comparing different strategies based on their average turns on a histogram. The **plot_state_based_turns** function returns a graph to compare the average turn for each state. The **plot_state_based_comparison** function was implemented in order to compare the Value Iteration algorithm (theorical cost) and different simulations (empirical cost: 100, 10.000 and 1000.000) to show the accuracy obtained as a function of the number of simulations. Finally, the **plot_state_based_comparison_once** function compares the theorical cost and the empirical cost based on a number of defined simulations. ## Contact -- GitLab