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Guan-Ning Zeng

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#artificial intelligence Preprint Sep 2026

Schema: Discovering Unknown Environments via Agentic Program Induction

Learning to complete tasks in unfamiliar environments with unknown rules remains a key challenge for LLM agents. Current LLM agents often record their discoveries in prose, which may not provide a compact, explicit account of how the environment works. Inspired by how scientists organize observations into testable, pre...

Guan-Ning Zeng, Jia-Ni Wang, Wenjie Ma et al. · 0 citations
Preprint Sep 2026

Tail-Likelihood Reinforcement Learning

Tail-Likelihood Reinforcement Learning (TailRL), which maximizes the log-probability of exceeding a randomly chosen reward threshold, which gives more weight to rare, high-reward rollouts and can be interpreted as a mixture of Best-of-k gradients.

Shrinivas Ramasubramanian, Daman Arora, Fahim Tajwar et al. · 1 citation

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