Python POMDP Library.
Reason this release was yanked:
still requires installing tqdm and the dependency on networkx isn't removed
Project description
pomdp_py is a framework to build and solve POMDP problems, written in Python and Cython.
Why pomdp_py? It provides a POMDP framework in Python with clean and intuitive interfaces. This makes POMDP-related research or projects accessible to more people. It also helps sharing code and developing a community
Please refer to the full documentation and installation instructions.
If you find this library helpful to your work, please cite the following paper:
@inproceedings{zheng2020pomdp_py,
title = {pomdp\_py: A Framework to Build and Solve POMDP Problems},
author = {Zheng, Kaiyu and Tellex, Stefanie},
booktitle = {ICAPS 2020 Workshop on Planning and Robotics (PlanRob)},
year = {2020},
url = {https://icaps20subpages.icaps-conference.org/wp-content/uploads/2020/10/14-PlanRob_2020_paper_3.pdf},
note = {Arxiv link: "\url{https://arxiv.org/pdf/2004.10099.pdf}"}
}
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distributions
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file pomdp-py-1.3.0.tar.gz.
File metadata
- Download URL: pomdp-py-1.3.0.tar.gz
- Upload date:
- Size: 109.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.4.0 pkginfo/1.7.0 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b5647c7dccd61a25507fa5bf1a12192f3c5d467adfbab81225939c23caf8c657
|
|
| MD5 |
cdaead403cc93cad4bedffba7307e6f6
|
|
| BLAKE2b-256 |
2a7d1db1db08c6459773cac501ba128b5ab8b636919bf364cb79cdfb36f1b61e
|
File details
Details for the file pomdp_py-1.3.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.
File metadata
- Download URL: pomdp_py-1.3.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 3.6 MB
- Tags: CPython 3.8, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.4.0 pkginfo/1.7.0 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d659d5b842dafd5377d339f696a5f1ec5e94d9f391f0667973a558a9ae43b734
|
|
| MD5 |
2def8d13be01451f715cc8a591cc8319
|
|
| BLAKE2b-256 |
cac1a99006f1fab4a21657ab0e70040dfbc8b69a58cd91e153d3e39c55d9fa4d
|
File details
Details for the file pomdp_py-1.3.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.
File metadata
- Download URL: pomdp_py-1.3.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 3.1 MB
- Tags: CPython 3.7m, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.4.0 pkginfo/1.7.0 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
de6d7146c6ea997b3b86e79436e758be161cb9fc54072cfb8b7a19548698e927
|
|
| MD5 |
7317f66bf20b8d12870388d405489fac
|
|
| BLAKE2b-256 |
fe6d65a9938e39f7a813dff0b3f698256157a61cb0a9925d003dd2c700bac9b8
|