Teaches agent to play a game like dino-run using python.
Uses next libraries:
- keras (using neural network for learning)
- tkinter (making the game)
- PIL (converting game frames into images)
- numpy (handling images as matrices)
Gameplay of agent after training. Beats the game every single time.
Task list:
- Use distance of obstacle and other relevant params as features.
- Use raw pixel values as features