Reinforcement-Learning-with-Flappy-Bird

Game Engine:

In Engine folder, we have the final openAI game engine called flappy_env.py

External Submodule

• gym-simpleflappy: A Gym environment for a Flappy bird clone with a simple observation space.

• Observations returns:

bird height, bird speed, distance to next pipe, height of next pipe, distance to second pipe, height of second pipe]

- Use `gym.make("SimpleFlappy-v0")` for rewards only when a pipe is passed.

- Use `gym.make("SimpleFlappyDistance-v0")` for rewards based on steps survived - less sparse rewards should make the task a bit easier.

• Installation

cd gym-simpleflappy
pip install -e .

• Example
  • Run this sample agent to see the environment in action:

   python -m gym_simpleflappy.examples.flappy_random_agent

  • This agent picks a random action (flap or not flap) every 15 frames. Score is printed after each episode.