This release is a pre-release and may not be stable for production use.
The MDP toolbox provides classes and functions for the resolution of descrete-time Markov Decision Processes. The list of algorithms that have been implemented includes backwards induction, linear programming, policy iteration, q-learning and value iteration along with several variations.
1 maintainer
Metadata
1 maintainer
Release files for pymdptoolbox 4.0b1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| pymdptoolbox-4.0b1.tar.gz | 21.8 kB | Without provenance | Details for pymdptoolbox-4.0b1.tar.gz |
Release files / pymdptoolbox-4.0b1.tar.gz
| Download URL | pymdptoolbox-4.0b1.tar.gz |
|---|---|
| Size | 21.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
ccd90a7b431bcb4e0c6271ca3bfd127e0b0a8ae80a32713c72f9114528395955
|
|
BLAKE2b-256 checksum How to use checksums |
9ff67e34ff863928b0e6900a84b6bd85665403401e1717249183e723886976b2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for pymdptoolbox 4.0b1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
