s444524/JoelForkTest
1
0
Fork 0
forked from s425077/PotatoPlan
Code Releases Activity

docs

Browse Source
This commit is contained in:
BOTLester 2020-06-15 11:37:24 +02:00
parent df77db10af
commit 5dd6cd0020
1 changed files with 6 additions and 6 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

12
Final_evaluation.md
View File

@ -11,12 +11,12 @@ 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.
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.
-Dynamically allocated cargo space for each fertilizer based on how often each fertilizer is used.
-Day and night cycle and season system.
-Using noise map generated for rainfall calculations to draw moving clouds.
-... and few other.
- 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.
- Dynamically allocated cargo space for each fertilizer based on how often each fertilizer is used.
- Day and night cycle and season system.
- Using noise map generated for rainfall calculations to draw moving clouds.
- ... and few other.
## Machine Learning Algorithms
Project in its current state uses Machine Learning Algorithms to solve 2 problems. Light Gradient-Boosted Trees are used for both problems: