Pavlov is a modular, composable reinforcement learning API, with models written in Keras with a Tensorflow backend.
- Use Pavlov if you want a reinforcement learning library that:
Allows for easy and fast composition of various algorithms, exploration strategies, and state preprocessors
Allows for arbitrarily defined custom network architectures
Works with any environment that follows the OpenAI Gym interface
Comes with its own Docker image for both GPU and CPU usage
Pavlov is distributed under the MIT license.
Metadata
Release files for Pavlov 0.2.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| Pavlov-0.2.1.tar.gz | 24.9 kB | Without provenance | Details for Pavlov-0.2.1.tar.gz |
Release files / Pavlov-0.2.1.tar.gz
| Download URL | Pavlov-0.2.1.tar.gz |
|---|---|
| Size | 24.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
7a41eeae0c84ff9a02eeb14dba2fe9496aed94e42a94a0b696673c7003fcfe26
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Security for Pavlov 0.2.1
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