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MichiganDataScienceTeam/F23-Reinforcement-Learning

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We learn the basics of tabular and deep reinforcement learning. Then apply our knowledge to create an agent tuned to human preferences.

active 2023-09-08 → 2024-05-18 (UTC)

Partial coverage22,797 / 26,311 hourly files (87%) · 2 absent upstream · 3,513 failed, retryable2023-08-15 → 2026-08-15 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
37
Pushes
19
Pull requests
0
Issues
4
Stars
6
Forks
2

Activity over time

Daily event counts in the loaded window

Line chart, 254 days from 2023-09-08 to 2024-05-18. Pushes: 19 total, peak 5 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 4 total, peak 4 in a day. Comments: 2 total, peak 2 in a day. Stars: 6 total, peak 1 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

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

ContributorContributionsPushesPRsComments
Jakal02201402
broad-well4400
Casper-Guo1100

Recent activity

Latest issues, pull requests and releases

  • Issue comment#1Jakal022023-09-08 21:48
    Add MC gym tutorial
  • Issue#1Jakal022023-09-08 21:48
    Add MC gym tutorial
  • Issue#2Jakal022023-09-08 21:48
    Add test-setup.py
  • Issue comment#2Jakal022023-09-08 21:48
    Add test-setup.py
  • Issue#2Jakal022023-09-08 19:08
    Add test-setup.py
  • Issue#1Jakal022023-09-08 19:07
    Add MC gym tutorial

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 6 stars here means stars gained during the window, not the repo's star count.