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- Markov_reward_model abstract "In probability theory, a Markov reward model or Markov reward process is a stochastic process which extends either a Markov chain or continuous-time Markov chain by adding a reward rate to each state. An additional variable records the reward accumulated up to the current time. Features of interest in the model include expected reward at a given time and expected time to accumulate a given reward. The model appears in Ronald A. Howard's book. The models are often studied in the context of Markov decision processes where a decision strategy can impact the rewards received.The Markov Reward Model Checker tool can be used to numerically compute transient and stationary properties of Markov reward models.".
- Markov_reward_model wikiPageID "40871768".
- Markov_reward_model wikiPageRevisionID "583376460".
- Markov_reward_model subject Category:Stochastic_processes.
- Markov_reward_model comment "In probability theory, a Markov reward model or Markov reward process is a stochastic process which extends either a Markov chain or continuous-time Markov chain by adding a reward rate to each state. An additional variable records the reward accumulated up to the current time. Features of interest in the model include expected reward at a given time and expected time to accumulate a given reward. The model appears in Ronald A. Howard's book.".
- Markov_reward_model label "Markov reward model".
- Markov_reward_model sameAs m.0ynx_h8.
- Markov_reward_model sameAs Q17083602.
- Markov_reward_model sameAs Q17083602.
- Markov_reward_model wasDerivedFrom Markov_reward_model?oldid=583376460.
- Markov_reward_model isPrimaryTopicOf Markov_reward_model.