r/MachineLearning - [D] reinforcement learning theoretical results

Since i understand that there are a lot of empirical results but not much theoretical results in reinforcement learning I wanted to ask you: what kind of theoretical RL question would you like being answered? Are convergence guarantees and rates of convergence fully covered for tabular algorithms?