Pre-release
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.
Metadata
Release files for pymdptoolbox 4.0-b3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distributions (sdists)
| File | Size | Uploaded | |
|---|---|---|---|
| pymdptoolbox-4.0-b3.zip | 29.8 kB | Details | |
| pymdptoolbox-4.0-b3.tar.gz | 22.5 kB | Details |
Release files / pymdptoolbox-4.0-b3.zip
| Download URL | pymdptoolbox-4.0-b3.zip |
|---|---|
| Size | 29.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / pymdptoolbox-4.0-b3.tar.gz
| Download URL | pymdptoolbox-4.0-b3.tar.gz |
|---|---|
| Size | 22.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |