Turning Database Grading into RL Rewards: Post-Training Agents with ThinkingBox
3.60T1.5 sourceHugging Face Blog
Source record
Published by Hugging Face Blog (T1.5 source). The original is at https://huggingface.co/blog/microsoft/thinkingbox-training.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryA Microsoft team built ThinkingBox, which converts executable checks of terminal database state into RL rewards for post-training agents. ThinkingBox-Bench holds 507 tasks. Training Qwen3-8B with 50 GRPO steps lifted average success from 51.70% to 60.78% on tasks outside the benchmark. Code is on GitHub.
Why it mattersOpen-source recipe for turning deterministic state checks into RL reward signals for agent post-training, with measured gains and a public benchmark.
Cited by
No citations on record.