Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.
Create and customize traffic signal control simulations using reinforcement learning with SUMO.
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sumo-rl has 1.1k stars on GitHub. It has been forked 262 times. sumo-rl is written mainly in Python. It has been in active development since 2018. sumo-rl is available under the MIT license. Its main topics are deep-reinforcement-learning, gym, gym-env, gymnasium.
Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.
sumo-rl is an open-source project. It is released under the MIT license.
Yes. sumo-rl is free and open source — you can use, modify and self-host it.
sumo-rl is available under the MIT license.
sumo-rl is written mainly in Python.
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