Turning Database Grading into RL Rewards: Post-Training Agents with ThinkingBox
We used the executable terminal-state checks from ThinkingBox-Bench as rewards for RL fine-tuning, selecting tasks based on offline policy-relative difficulty to improve agent dependability without sacrificing coverage.