Papers with hierarchical agent architecture
CoEx – Co-evolving World-model and Exploration (2025.findings-emnlp)
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| Challenge: | Existing LLM agents fail to assimilate new observations into dynamic updates of the world model, leading to divergent and erroneous plans. |
| Approach: | They propose a hierarchical agent architecture that allows LLM planning to co-evolve with a dynamically updated model of the world. |
| Outcome: | The proposed agent outperforms existing agent paradigms in planning and exploration. |