State-Time Decomposition for Estimating Time-Dependent Utility
نویسندگان
چکیده
This paper discusses the estimation of time-dependent utility that is used for decision-theoretic planning in dynamic environments. A general approach to modeling the time-dependent utility is presented which is based on the decomposition of time-dependent utility into time-dependent state description (SEM: situation evolution model) and state-dependent utility description (PUM: plan utility model). This approach makes the designing process of time-dependent utility clearer and the estimating process less costly in some cases. An example application to a robot motion planning in a dynamic environment is described. The relationships between the proposed approach and MDP-based approaches is also discussed.
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