# multi-commander/Multi-Commander

<https://repo.masters-masters.com/en/repos/multi-commander/Multi-Commander>

[Home](https://repo.masters-masters.com/en) › [multi-commander](https://repo.masters-masters.com/en/owners/multi-commander) › [Multi-Commander](https://repo.masters-masters.com/en/repos/multi-commander/Multi-Commander)

multi-commander/Multi-Commander has 131 stars on GitHub. Its RepoMasters card: Prototype tier. Multi & Single Agent Reinforcement Learning for Traffic Signal…

| Field | Value |
| --- | --- |
| Owner | [multi-commander](https://repo.masters-masters.com/en/owners/multi-commander) |
| Stars | 131 |
| Forks | 28 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2019 |
| Topics | reinforcement-learning, cityflow, deecamp, traffic-signal-control, multi-agent, ray |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [multi-commander/Multi-Commander](https://github.com/multi-commander/Multi-Commander) |

## Repository

Multi & Single Agent Reinforcement Learning for Traffic Signal Control Problem

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
