swmmEnv provides a reinforcement learning environment for simulating and optimizing stormwater management using the SWMM model. It supports multi-agent scenarios and is designed for researchers and developers working in environmental engineering and AI. The package is open source and can be integrated into custom workflows.
In the AI & ML space, swmmEnv takes a focused approach. It focuses on enabling researchers to simulate and optimize stormwater management using reinforcement learning environments. swmmEnv is an open-source project aimed at researchers in environmental engineering and AI. The project is open source (MIT). It runs on the command line, and it can be self-hosted.
swmmEnv first shipped in 2026. The project is developed in the open on GitHub with 15 commits in the last 90 days. Among its 5 catalogued features are reinforcement learning, multi-agent support, and stormwater simulation.
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