To develop a plan, a model is constructed. In the model, it is necessary to have complete knowledge about the states, functionalities, and dynamics of the agents in the domain, system, or scenario. These necessities cannot be afforded without complete information about the environment being considered. Sometimes the available information is not complete or is supposed to be acquired gradually when studying the system. Planning based on an incomplete model and learning to improve the completeness of the domain models are the pivotal topics of the paper.
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