Mava is a library for building multi-agent reinforcement learning (MARL) systems. Mava builds off of Acme and in a similar way strives to expose simple, efficient, and readable components, as well as examples that serve both as reference implementations of popular algorithms and as strong baselines, while still providing enough flexibility to do novel research. For more information see github repository.
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Release files for id-mava 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| id-mava-0.1.3.tar.gz | 235.5 kB | Details |
Release files / id-mava-0.1.3.tar.gz
| Download URL | id-mava-0.1.3.tar.gz |
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| Size | 235.5 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
cfd51d8154c6c43f0aabb6299186d7a1dfb02d86e8d0aedf0bfa409b6ef99498
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twine/4.0.1 CPython/3.10.4
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