Deep Flappy Bird
by SHIVAM GARG
Deep Reinforcement Learning network for Playing Flappy Bird
License: MIT License
Model stats and performance
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DEEP REINFORCEMENT LEARNING MODEL FOR PLAYING FLAPPY BIRD
WHAT IS IT?
Its a deep learning model for Playing Flappy bird. Here the states of agent is decided by the neural net then by using dynamic programming and reinforcement learning agent is trained. Pipeline is a convolution neural network followed by a agent trained with a variant of Q-learning, whose input is raw pixels and whose output is a value function estimating future rewards.
HOW TO USE?
To run The Inference Script run this command
WHAT ARE THE REQUIREMENTS?
To get all the requirements and dependencies installed run the command
For GPU -
pip install -r gpu_requirements.txt
For CPU -
pip install -r cpu_requirements.txt
Author View Profile
A philosophy student cleverly disguised as a Coax Deep Learning engineer spending whole day, practically every day, experimenting with TensorFlow,Pytorch, and Caffe; dabbling with Python and C++; and drinking a wide variety of Coffee everyday.
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