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@@ -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.
 
 
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