AST-guard A gradient-immune structural guard against RL reward hacking
42
SCORE
AST-guard is a gradient-immune structural guard designed to prevent reward hacking in reinforcement learning systems. It provides a protective mechanism that maintains structural integrity against adversarial gradient-based attacks. The tool is open-source and available on GitHub.
Sources (1)
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3 PTS
Score Breakdown
Traction
raw 3.00 · weight 35%
7.0pts
Novelty
0 days old · weight 20%
20.0pts
Source diversity
1 source · weight 10%
3.3pts
AI quality
raw 32.00 · weight 35%
11.2pts
Niche RL safety concept but zero traction, minimal documentation, and unclear practical implementation or validation evidence.
Final Score42/100
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