Pith Number

pith:P7BOBOF3

pith:2026:P7BOBOF3IRNSBWF574YU5UZ36P

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GAGPO: Generalized Advantage Grouped Policy Optimization

Chao Yu, Jinjun Hu, Qiwen Chen, Rongxin Yang, Siyuan Zhu, Yibo Zhang, Zongkai Liu

GAGPO constructs a non-parametric grouped value proxy from sampled rollouts to compute temporal advantages for critic-free policy optimization in multi-turn environments.

arxiv:2605.13217 v1 · 2026-05-13 · cs.CL · cs.LG

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Claims

C1strongest claim

GAGPO constructs a non-parametric grouped value proxy from sampled rollouts and uses it to compute TD/GAE-style temporal advantages, recursively propagating outcome supervision backward through time.

C2weakest assumption

That the non-parametric grouped value proxy derived from sampled rollouts provides sufficiently low-bias and low-variance estimates of true advantages to support stable policy updates without introducing systematic errors from grouping or sampling choices.

C3one line summary

GAGPO computes step-aligned temporal advantages from grouped rollout samples without a learned critic, enabling stable policy optimization in multi-turn agent environments.

References

32 extracted · 32 resolved · 0 Pith anchors

[1] Training language models to follow instructions with human feedback , author=. 2022 , eprint= 2022

[2] OpenAI GPT-5 System Card , author=. 2025 , eprint= 2025

[3] Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities , author=. 2025 , eprint= 2025

[4] Qwen3 Technical Report , author=. 2025 , eprint= 2025

[5] Proximal Policy Optimization Algorithms , author=. 2017 , eprint= 2017

Receipt and verification

First computed	2026-05-18T03:08:48.459191Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

7fc2e0b8bb445b20d8bdff314ed33bf3c08326cd8314dafa2fd66030ffd0e837

Aliases

arxiv: 2605.13217 · arxiv_version: 2605.13217v1 · doi: 10.48550/arxiv.2605.13217

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/P7BOBOF3IRNSBWF574YU5UZ36P \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 7fc2e0b8bb445b20d8bdff314ed33bf3c08326cd8314dafa2fd66030ffd0e837

Canonical record JSON

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    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2026-05-13T09:10:03Z",
    "title_canon_sha256": "5ddd9a31ac5b93065c171a89b55373d7f557514e651512075531774943f79199"
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