= Additive state decomposition
{wiki=Additive_state_decomposition}
Additive State Decomposition is a technique often used in control theory and reinforcement learning to break down complex systems or functions into simpler, more manageable components. The idea is to represent a state or a task as a sum of simpler states or tasks. This can help in understanding, analyzing, or solving problems by allowing for modularity and easier manipulation of different parts of the system.
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