Flappy Bird AI using Cartesian Genetic Programming (Evolutionary Computation)
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Updated
Sep 19, 2020 - Python
Flappy Bird AI using Cartesian Genetic Programming (Evolutionary Computation)
An OpenAI Gym environment for the Flappy Bird game
Flappy Bird game, but AI plays it 🤖
It is a simple Flappy Bird Game in Python using Pygame.
Python Flappy Bird AI
Machine learning model that learns to play Flappy bird game developed using Neural networks and Genetic algorithm(NEAT).
FlappyBird with client-server model.
Various reinforcement learning algorithms applied to Flappy Bird game agent
Reinforcement learning implementation to train AI to play flappy bird game
This Project uses neural-network & genetic algorithm for bird's brain.
Keras implementation of a DQN agent for solving OpenAI's Flappy Bird environment
Use genetic algorithm to train neuro network to play flappy bird game
This is a Flappy Bird game made in python using pygame.
A simple from scratch implementation of Feed Forward Neural Network on the famous Flappy Bird game. The network teaches itself how to play the game through simultaneous generations over a period of time. The framework used is NEAT in Python to teach the AI.
A simple version of the Flappy Bird game.
Multiple games made by using pygame library of python.
This is a flappy bird game. This have many cool features like scene changing into day and night, bird's wing move and score updation.
This is group work. I along with @mdhasibulhasan3137 and @SMJamilSagar have done this. We have used python and the pygame package to re-create the game Flappy bird.
An endless game that includes a bird controlled by the player. The objective of this game is to prevent the bird from falling on the ground or colliding with the obstacles like pipes. Every time the bird passes through the pipes, the scores increment by one. The game ends when the bird collides with the pipes or falls on the ground due to gravity.
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