AI Learning to play Flappy Bird using Evolution Strategies

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.

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)