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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Computational framework for reinforcement learning in traffic control
| Date | Stars |
|---|---|
| 2026-07-24 | 1188 |
| 2026-07-25 | 1188 |
| 2026-07-28 | 1188 |
| 2026-07-30 | 1188 |
| 2026-07-31 | 1188 |
| 2026-08-06 | 1189 |
Today
+1 stars today
This week
+1 stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.08%/day
<img src="docs/img/square_logo.png" align="right" width="25%"/> [](https://travis-ci.com/flow-project/flow) [](http://flow.readthedocs.org/en/latest/) [](https://coveralls.io/github/flow-project/flow?branch=master) [](https://mybinder.org/v2/gh/flow-project/flow/binder) [](https://github.com/flow-project/flow/blob/master/LICENSE.md) # Flow [Flow](https://flow-project.github.io/) is a computational framework for deep RL and control experiments for traffic microsimulation. See [our website](https://flow-project.github.io/) for more information on the application of Flow to several mixed-autonomy traffic scenarios. Other [results and videos](https://sites.google.com/view/ieee-tro-flow/home) are available as well. # More information - [Documentation](https://flow.readthedocs.org/en/latest/) - [Installation instructions](http://flow.readthedocs.io/en/latest/flow_setup.html) - [Tutorials](https://github.com/flow-project/flow/tree/master/tutorials) - [Binder Build (beta)](https://mybinder.org/v2/gh/flow-project/flow/binder) # Technical questions If you have a bug, please report it. Otherwise, join the [Flow Users group](https://join.slack.com/t/flow-users/shared_invite/enQtODQ0NDYxMTQyNDY2LTY1ZDVjZTljM2U0ODIxNTY5NTQ2MmUxMzYzNzc5NzU4ZTlmNGI2ZjFmNGU4YjVhNzE3NjcwZTBjNzIxYTg5ZmY) on Slack! # Getting involved We welcome your contributions. - Please report bugs and improvements by submitting [GitHub issue](https://github.com/flow-project/flow/issues). - Submit your contributions using [pull requests](https://github.com/flow-project/flow/pulls). Please use [this template](https://github.com/flow-project/flow/blob/master/.github/PULL_REQUEST_TEMPLATE.md) for your pull requests. # Citing Flow If you use Flow for academic research, you are highly encouraged to cite our paper: C. Wu, A. Kreidieh, K. Parvate, E. Vinitsky, A. Bayen, "Flow: Architecture and Benchmarking for Reinforcement Learning in Traffic Control," CoRR, vol. abs/1710.05465, 2017. [Online]. Available: https://arxiv.org/abs/1710.05465 If you use the benchmarks, you are highly encouraged to cite our paper: Vinitsky, E., Kreidieh, A., Le Flem, L., Kheterpal, N., Jang, K., Wu, F., ... & Bayen, A. M, Benchmarks for reinforcement learning in mixed-autonomy traffic. In Conference on Robot Learning (pp. 399-409). Available: http://proceedings.mlr.press/v87/vinitsky18a.html # Contributors Flow is supported by the [Mobile Sensing Lab](http://bayen.eecs.berkeley.edu/) at UC Berkeley and Amazon AWS Machine Learning research grants. The contributors are listed in [Flow Team Page](https://flow-project.github.io/team.html).
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:16b22f17f530678f, topic:reinforcement-learning, desc:reinforcement learning, readme:reinforcement learning
matched fp:16b22f17f530678f, topic:benchmark