title: State definition in Reinforcement learning
body: <p>When defining state for a specific problem in reinforcement learning, How to decide what to include and what to leave for the definition, and also how to set difference between an observation and a state.
  For example assuming that the agent is in the context of human resource and planning where it needs to hire some workers based on the demand of jobs, considering the cost of hiring them (assuming the budget is limited) is a state in the format of (# workers, cost) a good definition of state?
  In total I don't know what information is needed to be in state and what should be left as it's rather observation.
  Thank you</p>