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The project implements the Snake game as an OpenAI Gym environment. Deep learning is implemented using the RLlib library. A convolutional neural network is used to work with the game frames.

License: MIT License

Python 100.00%
deep-learning deep-reinforcement-learning gym-environment openai-gym python pytorch ray ray-rllib ray-tune reinforcement-learning

snake-deep-reinforcement-learning's Introduction

Snake Deep Reinforcement Learning

Example

Description

This is a simple deep reinforcement learning project. The project implements the Snake game as an OpenAI Gym environment. Deep learning is implemented using the RLlib library. A convolutional neural network is used to work with the game frames.

Google Colab

Try it here Colab notebook

Installing dependencies

The project uses Python 3.7.

pip install -r requirements.txt

Train

python train.py

Play

Example:
python play.py checkpoint_example/checkpoint-100

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