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Tzu-Han Hsu

2 papers indexed

arxivcs.AI2026-07-06

Formal Disco: Scalable Open-Ended Generation of Formally Verified Programs

Gabriel Poesia, Simon Henniger, Tzu-Han Hsu, Yilun Du, Nada Amin

The cost of producing code is rapidly diminishing with increasingly capable AI agents, while quality assurance of generated programs has not kept pace. Formal verification provides the strongest possible guarantees, but the ability of AI models to work with verification-aware lan…

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arxivcs.AIcs.LOcs.MA2026-06-29

HyPOLE: Hyperproperty-Guided Multi-Agent Reinforcement Learning under Partial Observation

Arshia Rafieioskouei, Tzu-Han Hsu, Matthew Lucas, Borzoo Bonakdarpour

Formal specification is a powerful tool to guide the learning process and provides significant advantages over reward shaping: (1) mathematical rigor; (2) expressiveness to specify objectives and constraints, and (3) the ability to define tactics to achieve objectives. However, t…

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