Question: Q 6 : AI question. 1 . For Markov decision Problem how to define states, actions, rewards, and transitions for a specific problem? 2 .

Q6 : AI question.
1. For Markov decision Problem how to define states, actions, rewards, and transitions for a specific problem?
2. How to solve an MDP
3. What are the methods to solve an MDP (e.g., Value Iteration, Policy Iteration)?
4. How to choose an appropriate discount factor gamma
5. Strategies to deal with large or continuous state spaces.
6. Provide some tips for implementing MDPs in code.
7. Provide some examples of MDPs in real-world applications.

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