RLgraph is a framework to quickly prototype, define and execute reinforcement learning algorithms both in research and practice. RLgraph supports both TensorFlow (or static graphs in general) and Pytorch (eager/define-by run execution) through a single component based interface. An introductory blogpost can be found here: https://rlgraph.github.io/rlgraph/2019/01/04/introducing-rlgraph.html
Release files for rlgraph 0.5.5
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Source distribution (sdist)
| File | Size | Uploaded | |
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| rlgraph-0.5.5.tar.gz | 460.0 kB | Details |
Release files / rlgraph-0.5.5.tar.gz
| Download URL | rlgraph-0.5.5.tar.gz |
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| Size | 460.0 kB |
| Tags | Source |
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twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.6.8
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