Your question is Feedback Loop for Agent Accuracy. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
How would you design a feedback loop for an autonomous agent to improve its decision-making accuracy over time?
Discuss how the agent captures trajectories, evaluates outcomes, learns from explicit and implicit feedback, and safely deploys policy improvements. Cover online and batch components, delayed or noisy labels, evaluation, monitoring, rollback, and protection against reward hacking or unsafe behavior.