R&D

R&D

Mastering Neuroevolution with a Flappy Bird AI

To successfully implement the NEAT algorithm in Python to train an AI agent that could autonomously play Flappy Bird at a superhuman level.

Timeline

2-3 months

Team

2-3 developers

Budget

$50,000

Results

1

R

The Challenge

This was a technical challenge to explore and master the NEAT (NeuroEvolution of Augmenting Topologies) algorithm, a powerful but complex AI technique for training agents without explicit programming.

Our Solution

To successfully implement the NEAT algorithm in Python to train an AI agent that could autonomously play Flappy Bird at a superhuman level.

Technologies Used

NEAT-PythonPygameNumPyPython

Key Results

Demonstrated deep, hands-on expertise in advanced machine learning and neuroevolution algorithms.

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