For this week’s discussion, you will spend some time applying what you have learned about reinforcement learning.
In your initial post, address the following:
- Design a set of states, rewards, and rules for an intelligent agent playing a simple board game. You may choose any board game that you are familiar with. In your design, be sure to consider the following:States, including starting and ending states, and possible actionsRewards or penalties for reaching a stateRules for navigating from one state to another
- Compare your approach to the Markov Decision Process (MDP) that you learned about in this module. What similarities and differences do you see between your approach and the MDP?