Environment to play variations of the board game Azul, usable for Reinforcement Learning research in C++ and Python
active 2023-10-25 → 2025-02-14 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 479 days from 2023-10-25 to 2025-02-14. Pushes: 1 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 2 total, peak 2 in a day. Comments: 11 total, peak 4 in a day. Stars: 5 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
Recent activity
Latest issues, pull requests and releases
- Issue comment#1RemiFabre2024-02-10 16:40Clarify how to measure the performance of an agent in a 1 v 1
- Issue comment#1Swynfel2024-02-10 14:25Clarify how to measure the performance of an agent in a 1 v 1
- Issue comment#1RemiFabre2024-02-04 09:01Clarify how to measure the performance of an agent in a 1 v 1
- Issue comment#1Swynfel2024-02-02 20:31Clarify how to measure the performance of an agent in a 1 v 1
- Issue comment#1RemiFabre2024-02-01 21:28Clarify how to measure the performance of an agent in a 1 v 1
- Issue comment#1RemiFabre2024-02-01 20:21Clarify how to measure the performance of an agent in a 1 v 1
- Issue comment#1RemiFabre2024-02-01 13:04Clarify how to measure the performance of an agent in a 1 v 1
- Issue comment#2Swynfel2024-01-30 22:11Can't run Python's documentation example
- Issue comment#1Swynfel2024-01-30 21:58Clarify how to measure the performance of an agent in a 1 v 1
- Issue comment#2Swynfel2024-01-30 20:29Can't run Python's documentation example
- Issue comment#1Swynfel2024-01-30 20:21Clarify how to measure the performance of an agent in a 1 v 1
- Issue#2RemiFabre2024-01-24 22:29Can't run Python's documentation example
- Issue#1RemiFabre2024-01-24 21:48Clarify how to measure the performance of an agent in a 1 v 1
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 5 stars here means stars gained during the window, not the repo's star count.