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Inspired by the long-term evolution (LTE) standard project in telecommunications, aiming to provide development components for and standards for advancing RL research and applications. Beyond delivering top-notch algorithm implementations, **RLLTE** also serves as a **toolkit** for developing algorithms.
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# Acknowledgment
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This project is supported by [The Hong Kong Polytechnic University](http://www.polyu.edu.hk/), [Eastern Institute for Advanced Study](http://www.eias.ac.cn/), and [FLW-Foundation](FLW-Foundation). [EIAS HPC](https://hpc.eias.ac.cn/) provides a GPU computing platform, and [HUAWEI Ascend Community](https://www.hiascend.com/) provides an NPU computing platform for our testing. Some code of this project is borrowed or inspired by several excellent projects, and we highly appreciate them. See [ACKNOWLEDGMENT.md](https://github.com/RLE-Foundation/rllte/blob/main/ACKNOWLEDGMENT.md).
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# Miscellaneous
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<!--# Miscellaneous
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## ↳ Stargazers, thanks for your support!
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[](https://github.com/RLE-Foundation/rllte/stargazers)
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[](https://star-history.com/#RLE-Foundation/rllte&Date)
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