= 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.
Back to article page