flappy-bird-gymS 0.3.0

An OpenAI gym environment for the Flappy Bird game.

Flappy Bird for OpenAI Gym

This repository contains the implementation of two OpenAI Gym environments for the Flappy Bird game. The implementation of the game's logic and graphics was based on the FlapPyBird project, by @sourabhv.

The two environments differ only on the type of observations they yield for the agents. The "FlappyBird-rgb-v0" environment, yields RGB-arrays (images) representing the game's screen. The "FlappyBird-v0" environment, on the other hand, yields simple numerical information about the game's state as observations. The yielded attributes are the:

• horizontal distance to the next pipe;
• difference between the player's y position and the next hole's y position.

         

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