{"article":{"annotation":{"article_id":"rollout-time-intervention-improves-agent-training-on-hard-tasks","available_at":"2026-10-13T00:52:24.215093Z","geography_revision":"ef6ee0010dda5fe7b240fd514749b43e214c57da73222d2e40ec83b276dd0977","id":"aaee7a574d4aaf39621352ec2c27e4f6a5fdab7c538b6a7bdb4138ade3e12d65","input_sha256":"2c2d29c858240978a5ad57477490a68536cd4e4cec375dc00d9f3764115b839f","limitations":["Rule-derived subjects are candidates, not verified editorial labels or calibrated model probabilities.","Coverage is distinct from event location. 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Während des Trainings korrigiert RTI fehlgeschlagene Versuche mithilfe aufgabenspezifischer Bewertungsraster durch mehrere Agenten. Anschließend filtert es Eingriffe, die zu stark von der Modellverteilung abweichen, und gewichtet die übrigen Daten neu.","Im Out-of-Distribution-Test Claw-Eval-Hard20 berichtet der Artikel für das mit RTI trainierte Modell eine Pass@1-Rate von 62,92 %. Die Aufgabenfamilien dieses Tests wurden nicht für die synthetische Trainingsdatengenerierung verwendet; das Experiment bleibt jedoch auf von den Forschenden erstellte Aufgaben und API-Simulationen beschränkt. Der Artikel berichtet auch ein In-Distribution-Ergebnis für dieselben 20 Aufgabenfamilien. Die Ergebnisse belegen keine Leistung allgemeiner Agenten."],"sections":[]},"corrections":[],"country":"CN","data":{"blocks":[{"columns":[{"key":"metric","label":{"ar":"المقياس","de":"Messgröße","en":"Measure","es":"Medida","fr":"Mesure","pt":"Medida","tr":"Ölçüt"},"language":"en","type":"text"},{"key":"value","label":{"ar":"النسبة المئوية","de":"Prozent","en":"Percent","es":"Porcentaje","fr":"Pourcentage","pt":"Percentual","tr":"Yüzde"},"type":"number","unit":"percent"},{"key":"scope","label":{"ar":"النطاق","de":"Umfang","en":"Scope","es":"Alcance","fr":"Périmètre","pt":"Escopo","tr":"Kapsam"},"language":"en","type":"text"}],"description":{"ar":"Claw-Eval-Hard20؛ عائلات مهام مستبعدة من توليد التدريب؛ Pass@1","de":"Claw-Eval-Hard20; Aufgabenfamilien nicht in der Trainingssynthese; Pass@1","en":"Claw-Eval-Hard20; task families excluded from training synthesis; Pass@1","es":"Claw-Eval-Hard20; familias excluidas de la síntesis de entrenamiento; Pass@1","fr":"Claw-Eval-Hard20; familles de tâches exclues de la synthèse d’entraînement; Pass@1","pt":"Claw-Eval-Hard20; famílias de tarefas excluídas da síntese de treinamento; Pass@1","tr":"Claw-Eval-Hard20; eğitim sentezinde kullanılmayan görev aileleri; Pass@1"},"id":"reported-result-1","methodology":{"ar":"تقتصر القيمة على تجربة المعيار المذكورة في الورقة؛ وليست نتيجة ميدانية أو ضماناً عاماً للأداء.","de":"Der Wert ist auf das im Artikel beschriebene Benchmark-Experiment beschränkt; er ist kein Feldergebnis und keine allgemeine Leistungsgarantie.","en":"The value is limited to the benchmark experiment reported in the paper; it is not a field result or general performance guarantee.","es":"El valor se limita al experimento de benchmark descrito en el artículo; no es un resultado de campo ni una garantía general.","fr":"La valeur se limite à l’expérience de benchmark décrite dans l’article; ce n’est ni un résultat de terrain ni une garantie générale.","pt":"O valor se limita ao experimento de benchmark descrito no artigo; não é um resultado de campo nem uma garantia geral.","tr":"Değer, makalenin belirttiği benchmark deneyiyle sınırlıdır; saha sonucu veya genel performans garantisi değildir."},"rowTranslations":[{"metric":{"ar":"Pass@1 لنموذج RTI في مهام Claw-Eval-Hard20 خارج التوزيع","de":"Pass@1 des RTI-Modells bei Claw-Eval-Hard20 außerhalb der Verteilung","en":"RTI model Pass@1 on Claw-Eval-Hard20 out-of-distribution tasks","es":"Pass@1 del modelo RTI en tareas Claw-Eval-Hard20 fuera de distribución","fr":"Pass@1 du modèle RTI sur Claw-Eval-Hard20 hors distribution","pt":"Pass@1 do modelo RTI em tarefas Claw-Eval-Hard20 fora da distribuição","tr":"RTI modeli Claw-Eval-Hard20 dış-dağılım Pass@1"},"scope":{"ar":"Claw-Eval-Hard20؛ عائلات مهام مستبعدة من توليد التدريب؛ Pass@1","de":"Claw-Eval-Hard20; Aufgabenfamilien nicht in der Trainingssynthese; Pass@1","en":"Claw-Eval-Hard20; task families excluded from training synthesis; Pass@1","es":"Claw-Eval-Hard20; familias excluidas de la síntesis de entrenamiento; Pass@1","fr":"Claw-Eval-Hard20; familles de tâches exclues de la synthèse d’entraînement; Pass@1","pt":"Claw-Eval-Hard20; famílias de tarefas excluídas da síntese de treinamento; Pass@1","tr":"Claw-Eval-Hard20; eğitim sentezinde kullanılmayan görev aileleri; Pass@1"}}],"rows":[{"metric":"RTI model Pass@1 on Claw-Eval-Hard20 out-of-distribution tasks","scope":"Claw-Eval-Hard20; task families excluded from training synthesis; Pass@1","value":62.92}],"sourceUrls":["https://arxiv.org/html/2610.13438v1"],"title":{"ar":"نتيجة البحث","de":"Forschungsergebnis","en":"Research result","es":"Resultado del estudio","fr":"Résultat de l’étude","pt":"Resultado da pesquisa","tr":"Araştırma sonucu"},"type":"table","updatedAt":"2026-10-13T00:17:05Z"}],"version":1},"data_downloads":[{"formats":{"csv":"https://newsverum.com/api/v1/articles/rollout-time-intervention-improves-agent-training-on-hard-tasks/data/reported-result-1?lang=de&format=csv","json":"https://newsverum.com/api/v1/articles/rollout-time-intervention-improves-agent-training-on-hard-tasks/data/reported-result-1?lang=de&format=json"},"id":"reported-result-1"}],"data_types":["table"],"editorial_illustration":{"alt":"Konzeptionelle Darstellung von Technologie, Prozessoren und verbundenen Informationen.","asset_id":"newsverum-v1-technology","avif_variants":[{"height":320,"url":"https://newsverum.com/assets/newsverum/illustrations/v1/technology-480.avif","width":480},{"height":480,"url":"https://newsverum.com/assets/newsverum/illustrations/v1/technology-720.avif","width":720},{"height":640,"url":"https://newsverum.com/assets/newsverum/illustrations/v1/technology-960.avif","width":960},{"height":800,"url":"https://newsverum.com/assets/newsverum/illustrations/v1/technology-1200.avif","width":1200},{"height":1024,"url":"https://newsverum.com/assets/newsverum/illustrations/v1/technology-1536.avif","width":1536}],"credit":"Newsverum","documentary":false,"height":1024,"kind":"symbolic-editorial-illustration","language":"de","scope":"topic","url":"https://newsverum.com/assets/newsverum/illustrations/v1/technology-1536.webp","variants":[{"height":320,"url":"https://newsverum.com/assets/newsverum/illustrations/v1/technology-480.webp","width":480},{"height":640,"url":"https://newsverum.com/assets/newsverum/illustrations/v1/technology-960.webp","width":960},{"height":1024,"url":"https://newsverum.com/assets/newsverum/illustrations/v1/technology-1536.webp","width":1536}],"width":1536},"event_id":"event-4e5b7ba7-4702-5f02-a35b-ad64fbf3aee0","event_period":"2026-10-09","event_period_basis":"event-or-reference-period","id":"rollout-time-intervention-improves-agent-training-on-hard-tasks","image":null,"importance":0.6,"language":"de","modified_at":"2026-10-13T00:51:41+00:00","publication_basis":"publication-record","published_at":"2026-10-13T00:51:41+00:00","reading_minutes":1,"region":"world","section_illustration":{"alt":"Konzeptionelle Darstellung von Technologie, Prozessoren und verbundenen Informationen.","asset_id":"newsverum-v1-technology","avif_variants":[{"height":320,"url":"https://newsverum.com/assets/newsverum/illustrations/v1/technology-480.avif","width":480},{"height":480,"url":"https://newsverum.com/assets/newsverum/illustrations/v1/technology-720.avif","width":720},{"height":640,"url":"https://newsverum.com/assets/newsverum/illustrations/v1/technology-960.avif","width":960},{"height":800,"url":"https://newsverum.com/assets/newsverum/illustrations/v1/technology-1200.avif","width":1200},{"height":1024,"url":"https://newsverum.com/assets/newsverum/illustrations/v1/technology-1536.avif","width":1536}],"credit":"Newsverum","documentary":false,"height":1024,"kind":"symbolic-editorial-illustration","language":"de","scope":"section","url":"https://newsverum.com/assets/newsverum/illustrations/v1/technology-1536.webp","variants":[{"height":320,"url":"https://newsverum.com/assets/newsverum/illustrations/v1/technology-480.webp","width":480},{"height":640,"url":"https://newsverum.com/assets/newsverum/illustrations/v1/technology-960.webp","width":960},{"height":1024,"url":"https://newsverum.com/assets/newsverum/illustrations/v1/technology-1536.webp","width":1536}],"width":1536},"slug":"rollout-time-intervention-improves-agent-training-on-hard-tasks","sources":[{"checkedAt":"2026-10-13","name":"arXiv preprint by Alibaba and Hong Kong University of Science and Technology researchers","publishedAt":"2026-10-09","url":"https://arxiv.org/html/2610.13438v1"}],"summary":"Das Framework ergänzt Trainingsverläufe um Korrekturen mehrerer Agenten und filtert Verteilungsverschiebungen.","text":"Das Framework ergänzt Trainingsverläufe um Korrekturen mehrerer Agenten und filtert Verteilungsverschiebungen.\n\nMit Alibaba und der Hong Kong University of Science and Technology verbundene Forschende stellten Rollout-Time Intervention (RTI) vor. 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