What is a policy in a Markov decision process (MDP)?Select one:a.A set of rules for selecting actions and statesb.A set of rules for selecting actions in a given statec.A set of rules for selecting states in a given actiond.A set of rules for selecting outcomes
Question
What is a policy in a Markov decision process (MDP)?Select one:a.A set of rules for selecting actions and statesb.A set of rules for selecting actions in a given statec.A set of rules for selecting states in a given actiond.A set of rules for selecting outcomes
Solution
A policy in a Markov decision process (MDP) is b. A set of rules for selecting actions in a given state.
Here's why: In the context of MDPs, a policy, often denoted by π, is a strategy that defines how an agent will act in a given state. More specifically, it is a mapping from states to actions. For each state, the policy dictates the action that the agent should take. It does not involve selecting states or outcomes, which eliminates options a, c, and d.
Similar Questions
What is a state in a Markov decision process (MDP)?Select one:a.A possible outcome of an actionb.A representation of the current situationc.A representation of the future situationd.A representation of the past situation
What are the components of a Markov decision process (MDP)?Select one:a.States, actions, and rewardsb.States, outcomes, and rewardsc.States, actions, and costsd.States, outcomes, and costs
What is the process of finding the optimal policy in a Markov decision process (MDP) called?Select one:a.Policy optimizationb.Markov optimizationc.Bellman optimizationd.Dynamic programming
What is the goal of a Markov decision process (MDP)?Select one:a.To maximize the expected cumulative cost over a given time horizonb.To minimize the expected cumulative cost over a given time horizonc.To maximize the expected cumulative reward over a given time horizond.To minimize the expected cumulative reward over a given time horizon
What is the Bellman equation in a Markov decision process (MDP)?Select one:a.A recursive equation used to compute the transition probabilities of a stateb.A recursive equation used to compute the expected reward of a statec.A recursive equation used to compute the policy of a stated.A recursive equation used to compute the value function of a state
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