Multi-Commander
Multi & Single Agent Reinforcement Learning for Traffic Signal Control Problem
multi-commander/Multi-Commander
View on GitHub ↗Multi & Single Agent Reinforcement Learning for Traffic Signal Control Problem
Multi-Commander grew +0.8% in the last 30 days, ranks 64th of 74 in RL Environments, last commit 1,487 days ago.
Star trajectory
79 days tracked2026-08-07131 stars today2026-10-25
Momentum
+0.8% in 30d, above the RL Environments median of +0.2%.
Maintenance
Last commit 1,487 days ago, staler than the median of 171d.
How it compares in RL Environments
Multi-Commander
131
stars
+0.8% 30d
commit 1,487 days ago
RL Environments median
314.5
stars
+0.2% 30d
commit ~171d ago
Leader · RAGEN
2.8k
stars
+0.7% 30d
commit 62 days ago
Ranked 64th of 74 by stars.
HKUST-Aerial-Robotics/SG-Reg141-10decisionforce/pgdrive135-4
multi-commander/Multi-Commander131
PathPlanning/AA-SIPP-m128+3LegoX/Lego-RL125+6- Language
- Python
- License
- Apache License 2.0
- Contributors
- 10
- Forks
- 29
- Watchers
- 7
- Open issues
- 3
- Releases
- 0
- Created
- 2019-07-24
- Stars this week
- +0
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