Shares execution traces across deployed robot fleets to improve a single manipulation policy using failure-guided experience retrieval fine-tuning (FERT) and a fault-tolerant asynchronous training system (FATS). Demonstrates large gains in real-world tasks and higher success with larger fleets, without extra expert corrective actions.