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Practical Real Time Recurrent Learning

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Name		Name	Last commit message	Last commit date
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.gitignore		.gitignore
CopyTaskData.py		CopyTaskData.py
LSTM.py		LSTM.py
README.md		README.md
Utils.py		Utils.py

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Implementation of Practical Real Time Recurrent Learning

My master thesis about practical RTRL with the Sparse n-step Approximation algorithm. Implemented with Google Jax.

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Practical Real Time Recurrent Learning

jax rtrl real-time-recurrent-learning sparse-n-step-approximation practical-rtrl

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Python 100.0%