Machine Learning For Game Testing
Budget: $30 – $250 USD
Machine Learning should be used to test the game "Dirt 5." There should be 10 - 15 mins of continuous input where the car will try to stay on the tracks and go around the tracks. The goal is not to win the game but to simulate someone playing the game. If the car hits a barrier or another car or gets off track of the course, it correct itself and get back on track. OpenCV, TensorFlow and Keras should be used. No other deep learning languages.
The requirements listed are I’ll of the requirements. Other than that I am open. You can look at how the game is played on YouTube for more details: https://youtu.be/CD6nhiUJOig
1
Example: https://morioh.com/p/3441c642326e. Here is an example video of another game
Deliverables
Must be in the languages mentioned. Must have continuous input for 10-15 minutes. Most have good code quality. Must complete all other requirements in detail.
The requirements listed are I’ll of the requirements. Other than that I am open. You can look at how the game is played on YouTube for more details: https://youtu.be/CD6nhiUJOig
1
Example: https://morioh.com/p/3441c642326e. Here is an example video of another game
Deliverables
Must be in the languages mentioned. Must have continuous input for 10-15 minutes. Most have good code quality. Must complete all other requirements in detail.