DynaPlex toolbox
Project description
DynaPlex 2
DynaPlex 2 is a Python library for solving Markov Decision Problems and similar models (POMDP, HMM). MDP/POMDP Models in DynaPlex 2 are written in (a subset of) Python, and are interpreted using a custom fast interpreter that supports multi-threading and vectorization. DynaPlex 2 focuses on solving problems arising in Operations Management: Supply Chain, Transportation and Logistics, Manufacturing, etc.
Requirements
- Python 3.13 only
- Windows: AMD64
- Linux: x86_64
- macOS: modern hardware (Apple Silicon) only; no legacy intel hardware supported. MacOs 14 only.
- Algorithms require a compatible PyTorch install; use the PyTorch selector: https://pytorch.org/get-started/locally/
build from source not supported.
Installation
pip install dynaplex
or
pip install dynaplex[complete]
Verifying your installation
After installing, confirm the wheel works on your platform (including the LLVM JIT) with:
python -m dynaplex.selftest
It prints your environment, exercises the compile/interpret pipeline, and runs a small kernel through the JIT, exiting non-zero on failure. See docs/verifying_installation.rst for details.
Documentation
Full docs and tutorials are available at https://dynaplex-docs.readthedocs.io/en/latest/
ReadTheDocs
Support
Please use the ReadTheDocs issue tracker for support: https://github.com/WillemvJ/DynaPlex-docs/issues
Release history Release notifications | RSS feed
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