Problem
1. Devise three example tasks of your own that fit into the reinforcement learning framework, identifying for each its state representations, actions, and rewards. Make the three examples as different from each other as possible. The framework is very abstract and flexible and can be applied in many different ways. Stretch its limits in some way in at least one of your examples.
2. Is the reinforcement learning framework adequate to usefully represent all goal-directed learning tasks? Can you think of any clear exceptions?