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quantumiracle/Reinforcement_Learning_for_Traffic_Light_Control

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Apply deep reinforcement learning methods including DQN, DDPG for traffic light control in simulation (discrete environment), to prove the 'Green Wave' phenomenon in intelligent traffic system.

active 2023-09-132026-01-18 (UTC)

Complete coverage26,420 / 26,420 hourly files (100%) · 2 absent upstream2023-08-152026-08-19 (UTC)
Events
33
Pushes
0
Pull requests
0
Issues
2
Stars
25
Forks
5

Activity over time

Daily event counts in the loaded window

Line chart, 859 days from 2023-09-13 to 2026-01-18. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 2 total, peak 1 in a day. Comments: 1 total, peak 1 in a day. Stars: 25 total, peak 2 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
LearningNewbie20253001

Recent activity

Latest issues, pull requests and releases

  • Issue#6LearningNewbie20252025-03-08 08:53
    long time training grid_square_network
  • Issue comment#4LearningNewbie20252025-03-06 06:37
    about version of tf and python
  • Issue#5LearningNewbie20252025-03-05 07:16
    Git clone error

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 25 stars here means stars gained during the window, not the repo's star count.