Skip to main content

DeterministicParticleFlowControl: deterministic particle based stochastic optimal control framework

Project description

Deterministic Particle Flow Control

Deterministic Particle Flow Control is a python package that allows for efficient and one shot computation of interventions for optimal stochastic control problems.

Details

Contains code for control computations on systems whose dynamics are described by stochastic differential equations. To get started, please go to the repository README file: https://github.com/dimitra-maoutsa/DeterministicParticleFlowControl/blob/main/README.md

License

DeterministicParticleFlowControl is licensed under the terms of the MIT license. See the file "LICENSE" for information on the history of this software, terms & conditions for usage, and a DISCLAIMER OF ALL WARRANTIES. All trademarks referenced herein are property of their respective holders. Copyright (c) 2021--, Dimitra Maoutsa, Technical University of Berlin.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

DeterministicParticleFlowControl-0.3.2.tar.gz (61.1 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page