Optimizing SQL appears to be a reasonable task for Reinforcement Learning. Given it is sequential with clearly defined actions, states, and rewards. There has

Optimizing SQL appears to be a reasonable task for Reinforcement Learning. Given it is sequential with clearly defined actions, states, and rewards. There has been work already done, for example https://blog.acolyer.org/2019/01/18/towards-a-hands-free-query-optimizer-through-deep-learning/ https://blog.acolyer.org/2019/01/18/towards-a-hands-free-que.... But it feels like the early days.