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Shufang Zhu

7 accepted papers

2026

Optimal LTLf Synthesis

IJCAI 2026

Strategy synthesis typically follows an all-or-nothing paradigm, returning unrealisable whenever a specification cannot be guaranteed in an uncertain environment. In this paper, we introduce optimal LTLf synthesis, where the goal is to realise as many objectives as possible from a given specificatio

Cited by 0Scholar
2024

Mimicking Behaviors in Separated Domains (Abstract Reprint)

AAAI 2024technical

Devising a strategy to make a system mimic behaviors from another system is a problem that naturally arises in many areas of Computer Science. In this work, we interpret this problem in the context of intelligent agents, from the perspective of LTLf, a formalism commonly used in AI for expressing fi…

Cited by 0SourcePDFScholar
2024

The Trembling-Hand Problem for LTLf Planning

IJCAI 2024poster

Consider an agent acting to achieve its temporal goal, but with a ``trembling hand". In this case, the agent may mistakenly instruct, with a certain (typically small) probability, actions that are not intended due to faults or imprecision in its action selection mechanism, thereby leading to possibl…

2022

LTLf Synthesis as AND-OR Graph Search: Knowledge Compilation at Work

IJCAI 2022poster

Synthesis techniques for temporal logic specifications are typically based on exploiting symbolic techniques, as done in model checking. These symbolic techniques typically use backward fixpoint computation. Planning, which can be seen as a specific form of synthesis, is a witness of the success of…

Cited by 19SourcePDFScholar
2021

Finite-Trace and Generalized-Reactivity Specifications in Temporal Synthesis

IJCAI 2021poster

Linear Temporal Logic (LTL) synthesis aims at automatically synthesizing a program that complies with desired properties expressed in LTL. Unfortunately it has been proved to be too difficult computationally to perform full LTL synthesis. There have been two success stories with LTL synthesis, both…

Cited by 21SourcePDFScholar
2021

On-the-fly Synthesis for LTL over Finite Traces

AAAI 2021technical

We present a new synthesis framework based on the on-the-fly DFA construction for LTL over finite traces (LTLf ). Extant approaches rely heavily on the construction of the complete DFA w.r.t. the input LTLf formula, whose size can be doubly exponential to the size of the formula in the worst case. U…

Cited by 24SourcePDFScholar