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#markov_reward_model

Markov reward model

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.

Wed 13th

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Markov reward model Markov decision process Reinforcement learning List of things named after Andrey Markov Partially observable Markov decision process List of model checking tools MRMC Q-learning Model-free (reinforcement learning) Decentralized partially observable Markov decision process

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