| Name | pomdp-py JSON |
| Version |
1.3.5.1
JSON |
| download |
| home_page | None |
| Summary | Python POMDP Library. |
| upload_time | 2024-03-30 17:16:52 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | None |
| license | The MIT License (MIT) Copyright 2020 Kaiyu Zheng Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
| keywords |
partially observable markov decision process
pomdp
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
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No Travis.
|
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No coveralls.
|
pomdp_py
========
`pomdp_py <https://h2r.github.io/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 <https://h2r.github.io/pomdp-py>`_ and `installation instructions <https://h2r.github.io/pomdp-py/html/installation.html>`_.
If you find this library helpful to your work, please cite the `following paper <https://arxiv.org/pdf/2004.10099.pdf>`_::
@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}"}
}
**Call for Contributions**: please check out - `h2r/pomdp-py/issues/25 <https://github.com/h2r/pomdp-py/issues/25>`_.
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