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Introducing License Enforcement in Socket
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NOTE: SOCKS is still under active (alpha) development 🚧👷🚧. Code is provided as-is, and some algorithms may not work as intended before the initial release. Please check back soon for the official release.
SOCKS is a suite of algorithms for stochastic optimal control using kernel methods.
It runs on top of OpenAI Gym, and comes with several classic controls Gym environments. In addition, it can integrate with many pre-existing Gym environments.
To install the toolbox, use pip install gym-socks
. Alternatively, download the code
from the GitHub repo and install using pip install .
from the code directory.
We support Python versions 3.7, 3.8, and 3.9 on Linux and macOS. We do not officially support Windows.
SOCKS comes with several examples in the GitHub repo. In order to run the examples,
first install the package and use python examples/<example>
from the code directory.
For example, python python examples/control/tracking.py
will run the optimal control
algorithm on the tracking benchmark using nonholonomic vehicle dynamics.
In order to cite the toolbox, use the following bibtex entry:
@inproceedings{thorpe2022hscc,
title={{SOCKS}: A Kernel-Based Stochastic Optimal Control and Reachability Toolbox},
authors={Thorpe, Adam J. and Oishi, Meeko M. K.},
year={2022},
booktitle={Proceedings of the 25th ACM International Conference on Hybrid Systems: Computation and Control (to appear)},
}
FAQs
SOCKS: Stochastic Optimal Control using Kernel Methods
We found that gym-socks demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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Ensure open-source compliance with Socket’s License Enforcement Beta. Set up your License Policy and secure your software!
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We're launching a new set of license analysis and compliance features for analyzing, managing, and complying with licenses across a range of supported languages and ecosystems.
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We're excited to introduce Socket Optimize, a powerful CLI command to secure open source dependencies with tested, optimized package overrides.