It is looks like a reinforcement learning diagram however it's slightly different. I'll explain the numbers.
- 1) The environment first gives the agent a state
- 2) The agent does it's magic and then returns an action
- 3) The environment decides if this action is to be rewarded or punished for that action which depended on the state first sent
Is there a ML approach that satisfys this?