How much features are needed for Reinforcement learning? I am trying to learn and use reinforcement learning. Now I have only 6 numeric features in my dataset. Can I still use RL? in other words can be using RL for a such a number of features sensible?
It really depends on how much data (samples) you have instead of how many features each samples has. And more importantly it depends on how you plan to structure the problem into an Environment with States and Actions.