Talendar/flappy-bird-gym
An OpenAI Gym environment for the Flappy Bird game
This project helps machine learning engineers or researchers train AI agents to play the classic Flappy Bird game. You provide an agent that decides when to flap, and the environment returns either numerical game state data (like bird and pipe positions) or visual RGB images of the game. It's designed for those working with reinforcement learning frameworks to develop and test game-playing AI.
132 stars. No commits in the last 6 months. Available on PyPI.
Use this if you are a machine learning engineer or researcher focused on reinforcement learning and need a simple, well-defined game environment to train and evaluate AI agents.
Not ideal if you are a casual gamer looking to play Flappy Bird, or if you need a complex, high-fidelity game environment for advanced AI research.
Stars
132
Forks
94
Language
Python
License
MIT
Category
Last pushed
Feb 14, 2022
Commits (30d)
0
Dependencies
3
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