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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In AI planning and reinforcement learning, a policy prescribes an action given a non-empty sequence of states. A deterministic policy will always prescribe the same action, over time, for any given input. Automated planning and scheduling is a branch of artificial intelligence that concerns the realisation of strategies or action sequences, typically for execution by intelligent agents, autonomous robots and unmanned vehicles. Unlike classical control and classification problems, the solutions are complex, unknown and have to be discovered and optimised in multidimensional space.