Implement deep learning techniques for summarizing text using reinforcement learning methods.
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Free · no card · unsubscribe anytimeDeep Reinforcement Learning For Sequence to Sequence Models
RLSeq2Seq has 767 stars on GitHub. It has been forked 160 times. RLSeq2Seq is written mainly in Python. It has been in active development since 2018. RLSeq2Seq is available under the MIT license. Its main topics are abstractive-text-summarization, actor-critic, nlp, pointer-generator.
What is RLSeq2Seq?
Deep Reinforcement Learning For Sequence to Sequence Models
Is RLSeq2Seq open source?
RLSeq2Seq is an open-source project. It is released under the MIT license.
Is RLSeq2Seq free?
Yes. RLSeq2Seq is free and open source — you can use, modify and self-host it.
What license does RLSeq2Seq use?
RLSeq2Seq is available under the MIT license.
What language is RLSeq2Seq written in?
RLSeq2Seq is written mainly in Python.
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