Final_evaluation.md

@@ -10,10 +10,6 @@ NuGet Packages used and requeired for the project to work ar as follows:
 	
 In our project agent (tractor) moves on resizable grid, which starting size is dependant on primary screen resolution.
 The task of the agent is to go through all soil tiles and plant different types of crops, use proper fertilizer and collect crops when fully grown.
-
-Window can be resized usind WASD. Tractor speed can be changed using UP and DOWN arrow keys, while simulation speed can be changed using LEFT and RIGHT arrow keys.
-Also house placement can be changed by left clicking on a tile, and get info about the tile by right clicking.
-
 Apart from Machine Learning Algorithms used in project there are also many different features implemented like:
  - Using A* algorithm to find an optimal path to previously selected target.
  - Target is found by scoring system which assign score to a tile based on few factors like production rate or distance.
@@ -36,3 +32,6 @@ Project in its current state uses Machine Learning Algorithms to solve 2 problem
 
 ### UI
 ![UI](https://git.wmi.amu.edu.pl/s425077/PotatoPlan/raw/Joel-ML/Evaluation_examples/Example_UI.PNG)
+
+Final evaluation doc.
+WIP