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Ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
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stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
The ElegantRL library is featured with “elegant” in the following aspects:
Efficient: the performance is comparable with Ray RLlib.
Stable: more stable than Stable Baseline 3.
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