AI Learning to play Flappy Bird using Evolution Strategies

Name: alirezamika/flappybird-es
Brand: alirezamika/flappybird-es
SKU: project/alirezamika/flappybird-es
Rating: 4.43 (31 reviews)

This AI agent uses Evolutional Strategies and deep learning models to master the Flappy Bird game.

Read Evolution Strategies as a Scalable Alternative to Reinforcement Learning from OpenAI if you are interested.

After a few hundred iterations, it masters the game.

demo

Dependencies

evostra
PyGame-Learning-Environment

Usage

To see the agent playing the game:

from flappy import *

agent = Agent()

# the pre-trained weights are saved into 'weights.pkl' which you can use.
agent.load('weights.pkl')

# play one episode
agent.play(1)

To start training the agent:

# train for 100 iterations
agent.train(100)

Project Name	Stars	Most Recent Commit	Open Issues	License	Language
Flappy Es	140	a year ago			Python
Flappy Bird AI using Evolution Strategies
Flappy Bird Genetic Algorithms	75	6 years ago	2	mit	Python
Use genetic algorithms to train flappy bird
Flappybird Es	31	6 years ago	1		Python
An AI agent Learning to play Flappy Bird using Evolution Strategies and deep learning models.
Example.flappy Bird	4	3 years ago	3		JavaScript
🥕 Mastering flappy bird with machine learning (neural networks, neuro-evolution)

Flappybird Es

AI Learning to play Flappy Bird using Evolution Strategies

Dependencies

Usage