Giovan321/Reward-Guard

Plug-and-play reward monitoring for RL training loops. Catch reward hacking, component imbalance, and starvation before they tank your run. Drop in one .step() call — get balance reports, auto weight correction, alignment scores, and WandB/TensorBoard/SB3 integrations out of the box. → rewardguard.dev

1 best points · 1 comments · 1 Hacker News post · 6 GitHub stars · View on GitHub

Hacker News discussions

• Show HN: RewardGuard – detect reward hacking in RL training loops (1 points, 1 comments, by Giovan321, 2026-04-26)