https://github.com/ahalic/dino_ai
Artificial Inteligence implementation for the Dino game
https://github.com/ahalic/dino_ai
artificial-intelligence metaheuristics python
Last synced: 8 months ago
JSON representation
Artificial Inteligence implementation for the Dino game
- Host: GitHub
- URL: https://github.com/ahalic/dino_ai
- Owner: AHalic
- License: mit
- Created: 2022-07-05T16:55:02.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2022-08-09T23:46:59.000Z (about 3 years ago)
- Last Synced: 2024-12-30T22:32:12.080Z (10 months ago)
- Topics: artificial-intelligence, metaheuristics, python
- Language: Jupyter Notebook
- Homepage:
- Size: 108 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Artificial Inteligence for Dino Game
Artificial Inteligence implementation for the Dino game
## Steps
This implementation was made in Python3.8.2. Before running the application, it's necessary to install some dependencies, for that run the following commands in your terminal:
```
pip3 install -r requirements.txt
```
### Graphic
To fast train the model, theres also a version without the graphics, for that run:
```
python3 dinoAIrenderless.py
```
## KNN Model
The model consists of a genetic algorithm to search the coordinates of the points used in the KNN classifier.
To run it, you may run the application as:
```
python3 mainGA.py
```
### Best Result
Solution: `[212 345 142 101 300 131 394 345 43 651 300 383 300 300 130 15 325 732 171 345 127]`
Results: `[1089.5, 210.0, 219.0, 1113.75, 1200.5, 1262.25, 287.0, 331.25, 181.0, 226.0, 1609.75, 111.25, 168.75, 183.0, 1068.0, 337.25, 941.5, 163.5, 136.75, 465.5, 1123.25, 1264.25, 276.75, 1196.5, 296.75, 1145.5, 1133.5, 117.0, 1135.75, 1139.75]`
Mean: 671.15 Std: 484.46
## Rule Based Model
The model consists of a series of rules and facts, from which it is possible to create new facts and decide the action to be made by the dinossaur.
To run it, you may run the application as:
```
python3 mainRuleBasedClassifier.py
```
### Best Result
Results: `[1206.0, 1291.25, 899.75, 1619.5, 1240.75, 979.0, 1305.25, 1255.5, 1341.5, 525.5, 1100.5, 1252.0, 1090.0, 1260.5, 1024.0, 1327.25, 1088.5, 1055.5, 1419.25, 1193.0, 1277.25, 1250.75, 1255.0, 1093.75, 1222.5, 1328.0, 1187.0, 1018.0, 1384.5, 977.0]`
Mean: 1182.275 Std: 193.09
---
Implemented by Sophie Dilhon