{"article":{"annotation":{"article_id":"princeton-berkeley-study-scales-empowerment-learning-agents","available_at":"2026-10-12T23:34:04.103780Z","geography_revision":"ef6ee0010dda5fe7b240fd514749b43e214c57da73222d2e40ec83b276dd0977","id":"8d61fbe157f22d55d187864d82caf26a88200c71485194d57f50aea90b1d8b7c","input_sha256":"9bda0f03ceaecae4904617f28ccfdad64360404d16ecb8ea2eadfb41c7803f21","limitations":["Rule-derived subjects are candidates, not verified editorial labels or calibrated model probabilities.","Coverage is distinct from event location. 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Elle estime le nombre de compétences exécutables depuis un état, puis entraîne une politique à atteindre des états offrant davantage d’options.","Dans Craftax-Classic, les auteurs indiquent que les agents ont obtenu sept à huit des 22 accomplissements par trajectoire après un milliard de pas d’environnement. L’article décrit aussi des comportements émergents en simulation, comme la construction d’un abri. Ces résultats dépendent d’environnements et de mesures précis; ils ne démontrent ni autonomie générale ni performances en robotique réelle."],"sections":[]},"corrections":[],"country":"US","data":{"blocks":[{"columns":[{"key":"indicator","label":{"ar":"المؤشر","de":"Indikator","en":"Indicator","es":"Indicador","fr":"Indicateur","pt":"Indicador","tr":"Gösterge"},"type":"text"},{"key":"count","label":{"ar":"العدد في نطاق التجربة","de":"Zahl im Versuchsrahmen","en":"Experimental scope count","es":"Cantidad en el alcance experimental","fr":"Nombre dans le périmètre expérimental","pt":"Quantidade no escopo experimental","tr":"Deney kapsamındaki sayı"},"type":"number","unit":"count"},{"key":"released","label":{"ar":"تاريخ نشر المسودة الأولية","de":"Veröffentlichungsdatum des Preprints","en":"Preprint publication date","es":"Fecha de publicación de la prepublicación","fr":"Date de publication de la prépublication","pt":"Data de publicação da pré-publicação","tr":"Ön baskının yayın 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