10000 GitHub - abechanta/chainer_pong: learn pong by chainer
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chainer pong

DQN implementation by Chainer.

Model Overview

model.PNG

Dependencies

  • Chainer(>=1.15)
  • gym(>=0.2.11)

Run

python run.py

It iterators 5 episode. If you store the model on ./store directory, that is loaded.
You can use trained model that are located in trained_model directory (it is stored by Git LFS, storing latest 5 model). Please copy it to /store directory then run script.

If you want to submit the result, set the option --submit <your api key>.

Below is the result by latest trained model.

OpenAI Gym/icoxfog417 algorithm

Train

python run.py --train

If you use GPU, add --gpu option. The trained model is stored in ./store directory. If you want to change the parameters, please modify run.py. The training parameters is manged in DQNTrainer.

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