happywu / A3c
MXNET + OpenAI Gym implementation of A3C from "Asynchronous Methods for Deep Reinforcement Learning"
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Still in progress.
A3C
This is a MXNET implementation of A3C as described in "Asynchronous Methods for Deep Reinforcement Learning.
Requirement
- openai gym
- mxnet
Flappy Bird
Game source from Using Deep Q-Network to Learn How To Play Flappy Bird.
If you don't want to run FlappyBird, you can ignore this.
To run experiment:
python a3c.py --game-source=flappybird --num-threads=16 --save-model-prefix=a3c-flappybird --save-every=1000
To eval, I have upload a checkpoint of mine, you could try your own parameters.
python a3c.py --test --model-prefix=a3ce-8 --load-epoch=305000 --game-source=flappybird
Notice
If you train on computer without GPUS, please change "devs = gpu(1)" to "devs = cpu()"
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