| # A3C Implementation |
| This is an attempt to implement the A3C algorithm in paper Asynchronous Methods for Deep Reinforcement Learning. |
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| Author: Junyuan Xie (@piiswrong) |
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| The algorithm should be mostly correct. However I cannot reproduce the result in the paper, possibly due to hyperparameter settings. If you can find a better set of parameters please propose a pull request. |
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| Note this is a generalization of the original algorithm since we use `batch_size` threads for each worker instead of the original 1 thread. |
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| ## Usage |
| run `python a3c.py --batch-size=32 --gpus=0` to run training on gpu 0 with batch-size=32. |
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| run `python launcher.py --gpus=0,1 -n 2 python a3c.py` to launch training on 2 gpus (0 and 1), each gpu has two workers. |
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