reinforcement-learning-sumo

Reinforcement Learning + traffic microsimulation (via SUMO). Uses Ray RLLIB and forces SUMO into the OpenAI Gym Framework

optimization

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54 Stars

9 Forks

54 Watchers

Python Language

Cost to Build

$77.3K

Market Value

$165.3K

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Growth over time

4 data points · 2022-08-01 → 2025-09-01

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What is the mschrader15/reinforcement-learning-sumo GitHub project? Description: "Reinforcement Learning + traffic microsimulation (via SUMO). Uses Ray RLLIB and forces SUMO into the OpenAI Gym Framework". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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