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pypi.org : gymprecice

A framework to designe Reinforcement Learning (RL) environments for Active Flow Control (AFC), as well as a playground to train Deep Reinforcement Learning (DRL) algorithms for AFC applications.

Registry - Source - Homepage - Documentation - JSON
purl: pkg:pypi/gymprecice
Keywords: Reinforcement Learning, RL, Deep Reinforcement Learning, DRL, AI, Gymnasium, OpenAI Gym, preCICE, Active Flow Control, active-flow-control, gymnasium, multi-physics, openai-gym, precice, precice-adapter, reinforcement-learning, reinforcement-learning-environments
License: MIT
Latest release: about 1 year ago
First release: about 1 year ago
Downloads: 24 last month
Stars: 20 on GitHub
Forks: 7 on GitHub
Total Commits: 177
Committers: 4
Average commits per author: 44.25
Development Distribution Score (DDS): 0.277
More commit stats: commits.ecosyste.ms
See more repository details: repos.ecosyste.ms
Last synced: 9 days ago

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