Across both tasks, the proposed LLM-based hierarchical framework consistently outperforms direct task-specific control and optimization, end-to-end reinforcement learning, rule-based and RL-based hierarchical coordination, and prompting-only LLM coordinators, demonstrating the value of heterogeneous-context reasoning, hierarchical execution, and continuation-aware policy learning.
Changhong He, Jinda Gao, Xinkuan Liu et al.· 0 citations
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