ID: 5dc7b23111828351b8e1c518

Deep Flappy Bird

by SHIVAM GARG

Deep Reinforcement Learning network for Playing Flappy Bird


License: MIT License

Tags: Flappy Bird DEEP QA Reinforcement Learning Tensorflow Agent Games

Ā Model stats and performance
Framework Tensorflow
OS Used Linux
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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 python run.py

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

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SHIVAM GARG
New Delhi, India
Level 41 74240 XP

3000 Profile
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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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