Finite State Continuous Time Markov Decision Processes with a Finite Planning Horizon.

Finite State Continuous Time Markov Decision Processes with a Finite Planning Horizon.

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The system considered may be in one of [n] states at any point in time; its probability law is a Markov process that depends on the policy (control) chosen. The return to the system over a given planning horizon is the integral over that horizon of ...