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SUN: Persistent Programs For Language-Grounded Control-to-Learning-to-Real Policies

Paper recorded by Signals 4 on 2026-08-31 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-08-31 on arXiv · recorded by Signals 4 on 2026-09-01

Category: cs.AI · 人工智能 · first seen 2026-09-01

Abstract

Bridging model-based control and learned policies in long-horizon manipulation has harbored a silent disagreement: control executes specified objectives, learning amortizes that behavior into a reactive policy, yet existing protocols discard task semantics, leaving rewards hand-crafted and behavior drifting from what control verified.We introduce Semantically UNified (SUN) Programs, typed executab

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#241 most recent of 300 cs.AI papers we have recorded · ↑ newer: LatentPress: Context Compression Beyond Text and Vision · ↓ older: Auditing Anonymous AI Models: A Four-Stage Protocol for Black-Box Iden

Cite this page: SUN: Persistent Programs For Language-Grounded Control-to-Learning-to-Real Policies: the #241 most recent of 300 cs.AI papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/sun-persistent-programs-for-language-grounded-control-to-learning-to-real-polici.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json

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