R&D

R&D

Mastering Neuroevolution with a Flappy Bird AI

Persona

Karan

Client

Personal Project

Result

1000%

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

Key Results

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

Related Content

Case Study

Deep dive into our process, challenges faced, and measurable results achieved for this project.

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