Toolrecover
Reward and preference experiments
Controlled experiments in tool recovery, policy optimization, and preferences.
Python · PyTorch · DPO
notes from the build
- Recovery simulator, private state verifier, supervised baseline, grouped policy updates, DPO, and reward-model training.
- Local runs did not establish an RL improvement. Human-data and AI-judge GPU studies remain pending.