Hierarchical and modular neural network architectures have facilitated the decomposition of complex tasks into manageable subtasks, enabling agents to plan and operate at multiple levels of abstraction. This structural breakthrough underpins greater autonomy by empowering agents to set and pursue long-term goals while managing short-term actions more effectively.
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