ML with human-in-the-loop (HITL). There is a feedback loop that learns based on human expectation. Peloton[1] is already learning based on data access patterns,

ML with human-in-the-loop (HITL). There is a feedback loop that learns based on human expectation. Peloton[1] is already learning based on data access patterns, but doesn't consider subjective feedback. Maybe there could be a query planner that learns which query plans are better via reinforcement learning (the reward is given by the human). [1]: https://github.com/cmu-db/peloton https://github.com/cmu-db/peloton