Metadata-Version: 2.1
Name: gym_dino
Version: 0.0.4
Summary: UNKNOWN
Home-page: UNKNOWN
License: UNKNOWN
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](https://github.com/shivamshekhar/Chrome-T-Rex-Rush) implementation of the original game using pygame.
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
