Metadata-Version: 2.1
Name: flappy-bird-gym
Version: 0.1.2
Summary: An OpenAI gym environment for the Flappy Bird game.
Home-page: https://github.com/Talendar/flappy-bird-gym
Author: Gabriel Guedes Nogueira (Talendar)
Author-email: gabriel.gnogueira@gmail.com
License: MIT License
Download-URL: https://github.com/Talendar/flappy-bird-gym/releases
Description: ## Flappy Bird for OpenAI Gym
        
        ![Python versions](https://img.shields.io/pypi/pyversions/flappy-bird-gym)
        [![PyPI](https://img.shields.io/pypi/v/flappy-bird-gym)](https://pypi.org/project/flappy-bird-gym/)
        [![License](https://img.shields.io/github/license/Talendar/flappy-bird-gym)](https://github.com/Talendar/flappy-bird-gym/blob/master/LICENSE)
        
        This repository contains an implementation of an OpenAI Gym environment for the Flappy Bird
        game. It's based on [FlapPyBird](https://github.com/sourabhv/FlapPyBird), by
        [@sourabhv](https://github.com/sourabhv). Currently, the environment provides the following
        observation parameters to the agents: 
        
        * The bird's *y* position;
        * The bird's vertical velocity;
        * Horizontal distance to the next pipe;
        * The next pipe's *y* position.
        
        In the future, I also intend to implement a version of the environment that provides an
        image representing the game's screen as observation.
        
        <p align="center">
          <img align="center" 
               src="https://github.com/Talendar/flappy-bird-gym/blob/main/imgs/yellow_bird_playing.gif?raw=true" 
               width="200"/>
          &nbsp;&nbsp;&nbsp;&nbsp;
          <img align="center" 
               src="https://github.com/Talendar/flappy-bird-gym/blob/main/imgs/red_bird_start_screen.gif?raw=true" 
               width="200"/>
          &nbsp;&nbsp;&nbsp;&nbsp;
          <img align="center" 
               src="https://github.com/Talendar/flappy-bird-gym/blob/main/imgs/blue_bird_playing.gif?raw=true" 
               width="200"/>
        </p>
        
        ## Installation
        
        To install `flappy-bird-gym`, simply run the following command:
        
            $ pip install flappy-bird-gym
            
        ## Usage
        
        Like with other `gym` environments, it's very easy to use `flappy-bird-gym`. Simply import the
        package and create the environment with the `make` function. Take a look at the sample code
        below:
        
        ```
        import time
        import flappy_bird_gym
        env = flappy_bird_gym.make("FlappyBird-v0")
        
        obs = env.reset()
        while True:
            # Next action:
            # (feed the observation to your agent here)
            action = ...  # env.action_space.sample() for a random action
        
            # Processing:
            obs, reward, done, info = env.step(action)
            
            # Rendering the game:
            # (remove this two lines during training)
            env.render()
            time.sleep(1 / 30)  # FPS
            
            # Checking if the player is still alive
            if done:
                break
        
        env.close()
        ```
        
        ## Playing
        
        To play the game (human mode), run the following command:
        
            $ flappy_bird_gym
            
        To see a random agent playing, add an argument to the command:
        
            $ flappy_bird_gym --mode random
        
Keywords: Flappy-BirdGame Gym OpenAI-Gym Reinforcement-Learning Reinforcement-Learning-Environment
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.6
Description-Content-Type: text/markdown
