Sparad:
| Huvudupphovsmän: | , , , |
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| Materialtyp: | Recurso digital |
| Språk: | engelska |
| Publicerad: |
Zenodo
2024
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| Ämnen: | |
| Länkar: | https://doi.org/10.5281/zenodo.11120099 |
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Innehållsförteckning:
- <p><strong>Introducing Reinforced-lib:</strong> a lightweight Python library for the rapid development of RL solutions. It is open-source, prioritizes ease of use, provides comprehensive documentation, and offers both deep reinforcement learning (DRL) and classic non-neural agents. Built on <a href="https://jax.readthedocs.io/en/latest/" rel="nofollow">JAX</a>, it facilitates exporting trained models to embedded devices, and makes it great for research and prototyping with RL algorithms. Access to JAX's just-in-time (JIT) compilation ensures high-performance results.<br><br><span>This research was funded by the National Science Centre, Poland (2020/39/I/ST7/01457) and by the German Research Foundation (DFG DR 639/28-1). We gratefully acknowledge Polish high-performance computing infrastructure PLGrid (HPC Centers: ACK Cyfronet AGH) for providing computer facilities and support within computational grant no. PLG/2022/015838.</span></p>