2. Calls the `AgentReset()` function for each agent in the scene.
3. Calls the `CollectObservations()` function for each agent in the scene.
4. Uses each agent's Brain class to decide on the agent's next action.
5. Calls your subclass's `AcademyAct()` function.
5. Calls your subclass's `AcademyStep()` function.
6. Calls the `AgentAction()` function for each agent in the scene, passing in the action chosen by the agent's brain. (This function is not called if the agent is done.)
7. Calls the agent's `AgentOnDone()` function if the agent has reached its `Max Step` count or has otherwise marked itself as `done`. Optionally, you can set an agent to restart if it finishes before the end of an episode. In this case, the Academy calls the `AgentReset()` function.
8. When the Academy reaches its own `Max Step` count, it starts the next episode again by calling your Academy subclass's `AcademyReset()` function.
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