{"schema_version":"onlylabs.public_signal.v1","title":"OpenAI Writing: Teacher–student curriculum learning","description":"OpenAI writing signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/0f2b7ff5-0e91-4959-b05c-062a63db3595","json_url":"https://onlylabs.fyi/signals/0f2b7ff5-0e91-4959-b05c-062a63db3595/signal.json","generated_at":"2026-06-08T15:47:14.767+00:00","org":{"slug":"openai","name":"OpenAI","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/openai","dossier_json_url":"https://onlylabs.fyi/labs/openai/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/0f2b7ff5-0e91-4959-b05c-062a63db3595","signal_json":"https://onlylabs.fyi/signals/0f2b7ff5-0e91-4959-b05c-062a63db3595/signal.json","source":"https://openai.com/index/teacher-student-curriculum-learning","lab_dossier":"https://onlylabs.fyi/labs/openai","lab_dossier_json":"https://onlylabs.fyi/labs/openai/dossier.json","analysis":"https://onlylabs.fyi/analysis/openai","analysis_json":"https://onlylabs.fyi/analysis/openai/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/openai/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":"https://onlylabs.fyi/topics/talking","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml","data_business":null},"answer_pack":{"answer":"OpenAI published Teacher–student curriculum learning. 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High-signal details: Teacher–student curriculum learning | OpenAI July 1, 2017 Publication Teacher–student curriculum learning Read paper Loading… Share Abstract We propose Teacher–Student.... onlylabs links this event to 1 captured evidence page and 6 related writing signals.","signal_desk":"talking","source_context":{"source_url":"https://openai.com/index/teacher-student-curriculum-learning","source_host":"openai.com","occurred_at":"2017-07-01T07:00:00+00:00","first_seen_at":"2026-06-05T05:42:57.832854+00:00","date_source":"rss.item_date","context":null},"context_markers":[{"label":"Lab","value":"OpenAI","source":"signal"},{"label":"Signal desk","value":"talking","source":"signal"},{"label":"Source host","value":"openai.com","source":"source"},{"label":"Watch term","value":"RL environments","source":"evidence"},{"label":"Watch 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has source host openai.com."},{"subject":"Teacher–student curriculum learning","predicate":"has lab","object":"OpenAI","text":"Teacher–student curriculum learning has lab OpenAI."},{"subject":"Teacher–student curriculum learning","predicate":"has signal desk","object":"talking","text":"Teacher–student curriculum learning has signal desk talking."},{"subject":"Teacher–student curriculum learning","predicate":"has source host","object":"openai.com","text":"Teacher–student curriculum learning has source host openai.com."},{"subject":"Teacher–student curriculum learning","predicate":"has watch term","object":"RL environments","text":"Teacher–student curriculum learning has watch term RL environments."},{"subject":"Teacher–student curriculum learning","predicate":"has watch term","object":"Infrastructure","text":"Teacher–student curriculum learning has watch term Infrastructure."}]},"intelligence":{"signal_desk":"talking","answer":"OpenAI published Teacher–student curriculum learning. This talking signal gives public context for research themes, product direction, policy, or launch framing. 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We describe a family of Teacher algorithms that rely on the intuition that the Student should practice more those tasks on which it makes the fastest progress, i.e. where the slope of the learning curve is highest. In addition, the Teacher algorithms address the problem of forgetting by also choosing tasks where the Student's performance is getting worse. We demonstrate that TSCL matches or surpasses the results of carefully hand-crafted curricula in two tasks: addition of decimal numbers with LSTM and navigation in Minecraft. Using our automatically generated curriculum enabled to solve a Minecraft maze that could not be solved at all when training directly on solving the maze, and the learning was an order of magnitude faster than uniform sampling of subtasks. - Learning Paradigms Authors Tambet..."},"evidence_pages":[{"url":"https://openai.com/index/teacher-student-curriculum-learning","final_url":"https://openai.com/index/teacher-student-curriculum-learning","title":"Teacher–student curriculum learning","http_status":200,"content_type":null,"capture_method":"exa","fetched_at":"2026-06-08T15:47:14.767+00:00","bytes":null,"raw_path":null,"content_hash":null,"excerpt_chars":1200,"truncated":true,"excerpt":"Teacher–student curriculum learning | OpenAI July 1, 2017 Publication Teacher–student curriculum learning Read paper Loading… Share Abstract We propose Teacher–Student Curriculum Learning (TSCL), a framework for automatic curriculum learning, where the Student tries to learn a complex task and the Teacher automatically chooses subtasks from a given set for the Student to train on. We describe a family of Teacher algorithms that rely on the intuition that the Student should practice more those tasks on which it makes the fastest progress, i.e. where the slope of the learning curve is highest. In addition, the Teacher algorithms address the problem of forgetting by also choosing tasks where the Student's performance is getting worse. We demonstrate that TSCL matches or surpasses the results of carefully hand-crafted curricula in two tasks: addition of decimal numbers with LSTM and navigation in Minecraft. 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