Methods › Reinforcement Learning › Reinforcement Learning Frameworks › Blue River Controls
Blue River Controls
Introduced by Kirill Polzounov et al. in Blue River Controls: A toolkit for Reinforcement Learning Control Systems on Hardware
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Blue River Controls is a tool that allows users to train and test reinforcement learning algorithms on real-world hardware. It features a simple interface based on OpenAI Gym, that works directly on both simulation and hardware.
Papers archive 2025-07-28
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Blue River Controls: A toolkit for Reinforcement Learning Control Systems on Hardware 7 Jan 2020 · 1 repository · arXiv:2001.02254
Tasks archive 2025-07-28
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Usage over time archive 2025-07-28
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Categories archive 2025-07-28
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