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Project description
OpenAI Gym Environment of the Chrome T-Rex Game
A pygame based port of the Chrome T-Rex Game as an OpenAI Gym Environment.
Important info
You can change the FPS of the game by adjusting the env.FPS value. By default, it is at 60.
Action Space = [0, 1, 2]
0 : No action
1 : Duck
2 : Jump
You can install this from PYPI:
pip3 install gym-dino
You can import it as:
import gym_dino
Small backstory
I am currently working on some reinforcement learning research problems and really wanted a simple yet effective environment to train an agent on. I realised that the Chrome game ain't bad at all especially in this scenario.
So have fun, any help to further develop on this is welcome.
Right now, only render
, step
, reset
and close
function have been implemented.
Special thanks to Shivam Shekar's implementation of the original game using pygame.
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