Automated Planning
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Automated planning and scheduling is a branch of artificial intelligence that concerns the realization of strategy|strategies or action sequences, typically for execution by intelligent agents, autonomous robots and unmanned aerial vehicle|unmanned vehicles. Unlike classical control system|control and classifier|classification problems, the solutions are complex and must be discovered and optimized in multidimensional space. Planning is also related to decision theory. In known environments with available models, planning can be done offline. Solutions can be found and evaluated prior to execution. In dynamically unknown environments, the strategy often needs to be revised online. Models and policies must be adapted. Solutions usually resort to iterative trial and error processes commonly seen in artificial intelligence. These include dynamic programming, reinforcement learning and combinatorial optimization. Languages used to describe planning and scheduling are often called action...
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