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Partially Observable Markov Decision Process - What are the types of decision process in Markov?
Answer
In order to find the best course of action for the system, Markov Decision Processes (MDPs) take into account factors including the environment, the agent's behavior, and the incentives. Factors such as the number of possible actions, the number of states, and the frequency of decision-making determine whether they are finite, infinite, continuous, or discrete.
Other useful AI terms
- What is an example of a partially observable system?
- What is the difference between fully observable and partially observable?
- What is a partially observable Markov decision process?
- What is a semi Markov Decision Process?
- What are the types of decision process in Markov?
- What is partial observation?
AI suggestions
- What is an example of a partially observable system?
- What is the difference between fully observable and partially observable?
- What is a partially observable Markov decision process?
- What is a semi Markov Decision Process?
- What are the types of decision process in Markov?
- What is partial observation?