Tablut-challenge Fashad-Ahmed · PARTIAL
Hybrid Reinforcement Learning and minimax agent for Tablut game. Combines PPO trained value networks with alpha beta search for competitive play.
github.com/Fashad-Ahmed/Tablut-challenge · ★ 1 · Forks 0 · Size 99.5 MB
SUMMARY
Technologies 18
Scored 15
Observed 15
Practices 6
Evidence 20
Skips 3
COVERAGE
Analyzed 311 files · 35 commits · 0 API calls
TECHNOLOGIES & DEPTH
Java LANGUAGE Depth 70
43 files · PRODUCTION
Shell LANGUAGE Depth 70
7 files · PRODUCTION
XML LANGUAGE Depth 70
1 files · PRODUCTION
JavaScript LANGUAGE Depth 70
1 files · PRODUCTION
Markdown LANGUAGE Depth 70
11 files · PRODUCTION
TOML LANGUAGE Depth 70
1 files · PRODUCTION
YAML LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
20 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
Black QUALITY Depth —
0 files · config only
JUnit TESTING Depth 55
1 files · PRODUCTION
MongoDB DATABASE Depth 65
1 files · CONFIGURATION
NumPy LIBRARY Depth 78
14 files · PRODUCTION, TEST
Ruff QUALITY Depth —
0 files · config only
TypeScript LANGUAGE Depth 66
2 files · PRODUCTION
mypy QUALITY Depth —
0 files · config only
pytest TESTING Depth 49
4 files · TEST
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · absentlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-11-06
Last commit 2026-02-02
Active months 4
Commits 35