Papers by Liancheng Gong

    1 papers
    Iterative Formalization and Planning in Partially Observable Environments (2026.findings-acl)

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    Challenge: Existing methods to formalize an environment into the Planning Domain Definition Language (PDDL) have been shown to improve performance and control.
    Approach: They propose a framework to iteratively formalize, plan, grow, and refine PDDL representations by decomposing the environment and the goal into fully observable episodes.
    Outcome: The proposed framework improves planning success and exhibits robustness against problem complexity compared to end-to-end approaches.

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