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EnvHarness: Awakening Static Worlds for Agent Learning research paper by Google, 2026

Google · Aug 20, 2026 · Agents and evaluation · 2 citations · 174 upvotes · unverified

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What it shows

EnvHarness and EnvRigger dynamically reshape static environments via programmable plugins to target agent weaknesses and improve reinforcement learning co-evolution.

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper
Authors
Chengsong Huang, Zifeng Wang, Rujun Han and 14 more
arXiv
2608.19880 · PDF
Citations
2, 0 influential · Semantic Scholar
Upvotes
174 · Hugging Face
Code
github.com/google-research/envharness
Lab
Google · on Companies · on Acquisitions · on Paydays · on TechConf · on Releases

Changes

What changed
Influential citationsfirst count: 0Sep 25, 2026
Citationsfirst count: 2Sep 25, 2026
New paperFound by the weekly scan, unverifiedSep 25, 2026

Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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