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examples Initial commit Sep 19, 2016
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README.md

Reward-based training of RNNs

Requirements

This code is written in Python 2.7 and requires

Notes

  • For the paper, we used a time step of 10 ms, which results in hundreds of time steps for typical tasks. When training a new task, we highly recommend that you start with a larger value to save time.

License

MIT

Citation

  • Song, H. F., Yang, G. R., & Wang, X.-J. (2016) Reward-based training of recurrent neural networks for cognitive and value-based tasks.
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