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CORL: Research-oriented Deep Offline Reinforcement Learning Library. (arXiv:2210.07105v1 [cs.LG])
cs.LG updates on arXiv.org arxiv.org
CORL is an open-source library that provides single-file implementations of
Deep Offline Reinforcement Learning algorithms. It emphasizes a simple
developing experience with a straightforward codebase and a modern analysis
tracking tool. In CORL, we isolate methods implementation into distinct single
files, making performance-relevant details easier to recognise. Additionally,
an experiment tracking feature is available to help log metrics,
hyperparameters, dependencies, and more to the cloud. Finally, we have ensured
the reliability of the implementations by benchmarking a commonly employed D4RL …
arxiv corl library offline reinforcement reinforcement learning research