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Adaptive Synchronous-Retrieval mechanism with Concurrent I/O using Reinforcement Learning.
A data retrieval mechanism that can adapt to the continuous contraction and expansion of the network bottleneck so that an optimal concurrency index can be maintained at any time during the data retrieval process.
Sample usage: python iget.py <target url> <output file>
Categories
Reinforcement Learning Frameworks, Reinforcement Learning Libraries, Reinforcement Learning AlgorithmsFollow iget
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