{"id":16759,"name":"RewardSpy AI Debugger","purpose":"A library to wrap existing reward functions in reinforcement learning (RL) environments, continuously monitoring and reporting on potential reward hacking allowing developers to identify and correct unintended exploits, inspired by Reddit’s rewardspy project.","profitable":1,"date_generated":"Saturday June 2026 04:47","reference":"project-rewardspy-debugger","technology_advise":["Python","Difficult"],"development_time_estimation_mvp_in_hours":80,"grade":6.5,"category":"ai","view_count":27,"similar_ideas":[{"id":4115,"name":"RewardScope Insights","grade":7.9,"category":null},{"id":4119,"name":"RewardScope Analytics","grade":8.0,"category":null},{"id":17033,"name":"IntrinsicRL Studio","grade":6.2,"category":"ai"},{"id":19331,"name":"AI Behavior Auditor","grade":7.8,"category":"ai"},{"id":21624,"name":"Recursive AI Governance Shield","grade":8.7,"category":"ai"}],"source_headline":"Debugger for RL reward functions detects reward hacking"}