Shypd.aiThe largest open index of AI toolsFlow is a computational framework for reinforcement learning in traffic control. It enables deep RL and control experiments for traffic microsimulation, supporting mixed-autonomy traffic scenarios.
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Flow is an open-source computational framework designed for deep reinforcement learning (RL) and control experiments specifically within the domain of traffic microsimulation. It provides a robust platform for researchers and developers to conduct experiments on various mixed-autonomy traffic scenarios. The framework is hosted on GitHub, indicating its open-source nature and collaborative development. Users can find comprehensive documentation, installation instructions, and tutorials to get started. Flow also encourages community involvement through bug reporting, pull requests, and a Slack group for user support, making it a collaborative environment for advancing traffic control research.
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