{"schema_version":"onlylabs.public_signal.v1","title":"OpenAI Writing: OpenAI Baselines: ACKTR & A2C","description":"OpenAI writing signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/8b340989-e333-4446-9dfa-e70950dff37a","json_url":"https://onlylabs.fyi/signals/8b340989-e333-4446-9dfa-e70950dff37a/signal.json","generated_at":"2026-06-08T15:47:07.81+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/8b340989-e333-4446-9dfa-e70950dff37a","signal_json":"https://onlylabs.fyi/signals/8b340989-e333-4446-9dfa-e70950dff37a/signal.json","source":"https://openai.com/index/openai-baselines-acktr-a2c","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 OpenAI Baselines: ACKTR & A2C. This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: OpenAI Baselines: ACKTR & A2C | OpenAI August 18, 2017 OpenAI Baselines: ACKTR & A2C Read code Read paper Illustration: Ben Barry Loading… Share We’re releasing two new.... 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/openai-baselines-acktr-a2c","source_host":"openai.com","occurred_at":"2017-08-18T07:00:00+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 term","value":"Eval methodology","source":"evidence"},{"label":"Watch term","value":"Infrastructure","source":"evidence"},{"label":"Watch term","value":"Safety and alignment","source":"evidence"},{"label":"Watch term","value":"Agents and tool use","source":"evidence"}],"evidence_coverage":{"target_pages":1,"captured_pages":1,"readable_pages":1,"capture_methods":["exa"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://openai.com/index/openai-baselines-acktr-a2c"],"related_signals":6,"has_source_url":true,"latest_page_fetched_at":"2026-06-08T15:47:07.81+00:00"},"data_business":{"matches":false,"lanes":[],"matched_terms":[],"score":null,"reason":null},"agent_handoff":{"signal_json":"https://onlylabs.fyi/signals/8b340989-e333-4446-9dfa-e70950dff37a/signal.json","dossier_json":"https://onlylabs.fyi/labs/openai/dossier.json","analysis_json":"https://onlylabs.fyi/analysis/openai/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/openai/evidence.json","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","data_radar_json":null,"opportunities_json":null},"analysis_playbook":{"objective":"Turn public writing and discussion into a readable map of research themes, product framing, policy posture, launch narratives, and market attention.","evidence_focus":["post title","source URL","captured page text","HN traction","linked model or paper references","publication date"],"extraction_questions":["Which themes are labs choosing to explain publicly?","Which posts are attracting outside discussion?","Which writing reframes a recent release, model, hiring wave, or policy stance?","Which posts mention data, evals, infrastructure, safety, or deployment workflows?"],"signal_questions":["What public theme, launch framing, or research direction does this writing signal expose?","Which themes are labs choosing to explain publicly?","Which posts are attracting outside discussion?","Do the 6 related writing signals show a repeated pattern?"],"output_fields":["org","theme","public_framing","traction","data_business_lane","evidence_url"],"data_business_relevance":"Public writing supplies the narrative layer over raw signals and helps identify which frontier-lab priorities are becoming externally legible.","required_sources":[{"label":"signal_json","url":"https://onlylabs.fyi/signals/8b340989-e333-4446-9dfa-e70950dff37a/signal.json","required":true},{"label":"source","url":"https://openai.com/index/openai-baselines-acktr-a2c","required":true},{"label":"dossier_json","url":"https://onlylabs.fyi/labs/openai/dossier.json","required":true},{"label":"analysis_evidence_json","url":"https://onlylabs.fyi/analysis/openai/evidence.json","required":true},{"label":"topic_signals_json","url":"https://onlylabs.fyi/topics/talking/signals.json","required":false},{"label":"data_radar_json","url":null,"required":false}],"expected_output":["one-paragraph source-grounded interpretation","category-specific implication","confidence and missing evidence","recommended next source to inspect"],"prompt_seed":"Using only the linked onlylabs JSON, captured source context, and cited evidence, analyze OpenAI's writing signal \"OpenAI Baselines: ACKTR & A2C\" for frontier lab strategy."},"semantic_triples":[{"subject":"OpenAI","predicate":"published","object":"OpenAI Baselines: ACKTR & A2C","text":"OpenAI published OpenAI Baselines: ACKTR & A2C."},{"subject":"OpenAI Baselines: ACKTR & A2C","predicate":"is classified as","object":"writing signal","text":"OpenAI Baselines: ACKTR & A2C is classified as writing signal."},{"subject":"OpenAI Baselines: ACKTR & A2C","predicate":"belongs to","object":"talking desk","text":"OpenAI Baselines: ACKTR & A2C belongs to talking desk."},{"subject":"OpenAI Baselines: ACKTR & A2C","predicate":"has evidence coverage","object":"1 captured evidence page","text":"OpenAI Baselines: ACKTR & A2C has evidence coverage 1 captured evidence page."},{"subject":"OpenAI Baselines: ACKTR & A2C","predicate":"has captured page count","object":"1","text":"OpenAI Baselines: ACKTR & A2C has captured page count 1."},{"subject":"OpenAI Baselines: ACKTR & A2C","predicate":"has readable page count","object":"1","text":"OpenAI Baselines: ACKTR & A2C has readable page count 1."},{"subject":"OpenAI Baselines: ACKTR & A2C","predicate":"has related signal count","object":"6","text":"OpenAI Baselines: ACKTR & A2C has related signal count 6."},{"subject":"OpenAI Baselines: ACKTR & A2C","predicate":"has analysis playbook objective","object":"Turn public writing and discussion into a readable map of research themes, product framing, policy posture, launch narratives, and market attention.","text":"OpenAI Baselines: ACKTR & A2C has analysis playbook objective Turn public writing and discussion into a readable map of research themes, product framing, policy posture, launch narratives, and market attention.."},{"subject":"OpenAI Baselines: ACKTR & A2C","predicate":"has source host","object":"openai.com","text":"OpenAI Baselines: ACKTR & A2C has source host openai.com."},{"subject":"OpenAI Baselines: ACKTR & A2C","predicate":"has lab","object":"OpenAI","text":"OpenAI Baselines: ACKTR & A2C has lab OpenAI."},{"subject":"OpenAI Baselines: ACKTR & A2C","predicate":"has signal desk","object":"talking","text":"OpenAI Baselines: ACKTR & A2C has signal desk talking."},{"subject":"OpenAI Baselines: ACKTR & A2C","predicate":"has source host","object":"openai.com","text":"OpenAI Baselines: ACKTR & A2C has source host openai.com."},{"subject":"OpenAI Baselines: ACKTR & A2C","predicate":"has watch term","object":"RL environments","text":"OpenAI Baselines: ACKTR & A2C has watch term RL environments."},{"subject":"OpenAI Baselines: ACKTR & A2C","predicate":"has watch term","object":"Eval methodology","text":"OpenAI Baselines: ACKTR & A2C has watch term Eval methodology."},{"subject":"OpenAI Baselines: ACKTR & A2C","predicate":"has watch term","object":"Infrastructure","text":"OpenAI Baselines: ACKTR & A2C has watch term Infrastructure."},{"subject":"OpenAI Baselines: ACKTR & A2C","predicate":"has watch term","object":"Safety and alignment","text":"OpenAI Baselines: ACKTR & A2C has watch term Safety and alignment."},{"subject":"OpenAI Baselines: ACKTR & A2C","predicate":"has watch term","object":"Agents and tool use","text":"OpenAI Baselines: ACKTR & A2C has watch term Agents and tool use."}]},"intelligence":{"signal_desk":"talking","answer":"OpenAI published OpenAI Baselines: ACKTR & A2C. This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: OpenAI Baselines: ACKTR & A2C | OpenAI August 18, 2017 OpenAI Baselines: ACKTR & A2C Read code Read paper Illustration: Ben Barry Loading… Share We’re releasing two new.... onlylabs links this event to 1 captured evidence page and 6 related writing signals.","semantic_triples":[{"subject":"OpenAI","predicate":"published","object":"OpenAI Baselines: ACKTR & A2C","text":"OpenAI published OpenAI Baselines: ACKTR & A2C."},{"subject":"OpenAI Baselines: ACKTR & A2C","predicate":"is classified as","object":"writing signal","text":"OpenAI Baselines: ACKTR & A2C is classified as writing signal."},{"subject":"OpenAI Baselines: ACKTR & A2C","predicate":"belongs to","object":"talking desk","text":"OpenAI Baselines: ACKTR & A2C belongs to talking desk."},{"subject":"OpenAI Baselines: ACKTR & A2C","predicate":"has evidence coverage","object":"1 captured evidence page","text":"OpenAI Baselines: ACKTR & A2C has evidence coverage 1 captured evidence page."}]},"signal":{"id":"8b340989-e333-4446-9dfa-e70950dff37a","url":"https://onlylabs.fyi/signals/8b340989-e333-4446-9dfa-e70950dff37a","json_url":"https://onlylabs.fyi/signals/8b340989-e333-4446-9dfa-e70950dff37a/signal.json","source_url":"https://openai.com/index/openai-baselines-acktr-a2c","title":"OpenAI Baselines: ACKTR & A2C","summary":"OpenAI published a writing signal. onlylabs watches public writing for research themes, product direction, and model-launch context.","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"openai","name":"OpenAI","category":"frontier-lab"},"occurred_at":"2017-08-18T07:00:00+00:00","first_seen_at":"2026-06-05T05:42:57.832854+00:00","date_source":"rss.item_date","evidence_coverage":{"target_pages":1,"captured_pages":1,"readable_pages":1,"capture_methods":["exa"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://openai.com/index/openai-baselines-acktr-a2c"]},"facets":{},"traction":{"github_stars":null,"hn_points":null,"hn_comments":null,"hn_story_id":null,"hf_downloads":null,"hf_likes":null},"data_radar":null},"primary_evidence_page":{"url":"https://openai.com/index/openai-baselines-acktr-a2c","final_url":"https://openai.com/index/openai-baselines-acktr-a2c","title":"OpenAI Baselines: ACKTR & A2C","http_status":200,"content_type":null,"capture_method":"exa","fetched_at":"2026-06-08T15:47:07.81+00:00","bytes":null,"raw_path":null,"content_hash":null,"excerpt_chars":1200,"truncated":true,"excerpt":"OpenAI Baselines: ACKTR & A2C | OpenAI August 18, 2017 OpenAI Baselines: ACKTR & A2C Read code Read paper Illustration: Ben Barry Loading… Share We’re releasing two new OpenAI Baselines implementations: ACKTR and A2C. A2C is a synchronous, deterministic variant of Asynchronous Advantage Actor Critic (A3C) which we’ve found gives equal performance. ACKTR is a more sample-efficient reinforcement learning algorithm than TRPO and A2C, and requires only slightly more computation than A2C per update. Loading... ACKTR (pronounced “actor”)—Actor Critic using Kronecker-factored Trust Region—was developed by researchers at the University of Toronto and New York University, and we at OpenAI have collaborated with them to release a Baselines implementation. The authors use⁠ ACKTR to learn control policies for simulated robots (with pixels as input, and continuous action spaces) and Atari agents (with pixels as input and discrete action spaces). ACKTR combines three distinct techniques: actor-critic methods⁠, trust region optimization⁠ for more consistent improvement, and distributed⁠ Kronecker⁠ factorization⁠ to improve sample efficiency and scalability. Sample and computational efficiency..."},"evidence_pages":[{"url":"https://openai.com/index/openai-baselines-acktr-a2c","final_url":"https://openai.com/index/openai-baselines-acktr-a2c","title":"OpenAI Baselines: ACKTR & A2C","http_status":200,"content_type":null,"capture_method":"exa","fetched_at":"2026-06-08T15:47:07.81+00:00","bytes":null,"raw_path":null,"content_hash":null,"excerpt_chars":1200,"truncated":true,"excerpt":"OpenAI Baselines: ACKTR & A2C | OpenAI August 18, 2017 OpenAI Baselines: ACKTR & A2C Read code Read paper Illustration: Ben Barry Loading… Share We’re releasing two new OpenAI Baselines implementations: ACKTR and A2C. A2C is a synchronous, deterministic variant of Asynchronous Advantage Actor Critic (A3C) which we’ve found gives equal performance. ACKTR is a more sample-efficient reinforcement learning algorithm than TRPO and A2C, and requires only slightly more computation than A2C per update. Loading... ACKTR (pronounced “actor”)—Actor Critic using Kronecker-factored Trust Region—was developed by researchers at the University of Toronto and New York University, and we at OpenAI have collaborated with them to release a Baselines implementation. The authors use⁠ ACKTR to learn control policies for simulated robots (with pixels as input, and continuous action spaces) and Atari agents (with pixels as input and discrete action spaces). ACKTR combines three distinct techniques: actor-critic methods⁠, trust region optimization⁠ for more consistent improvement, and distributed⁠ Kronecker⁠ factorization⁠ to improve sample efficiency and scalability. Sample and computational efficiency..."}],"related_signals":[{"id":"b3668d3b-26d2-40c0-9d4f-ed1a67927aa4","url":"https://onlylabs.fyi/signals/b3668d3b-26d2-40c0-9d4f-ed1a67927aa4","source_url":"https://openai.com/index/supporting-eu-trustworthy-ai-ecosystem","title":"Supporting Europe’s work in ensuring a trustworthy AI ecosystem ","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"openai","name":"OpenAI","category":"frontier-lab"},"occurred_at":"2026-06-11T00:00:00+00:00","first_seen_at":"2026-06-11T08:00:56.140796+00:00","date_source":"rss.item_date"},{"id":"2638c0a7-b372-409c-ac72-f6d81d6464dc","url":"https://onlylabs.fyi/signals/2638c0a7-b372-409c-ac72-f6d81d6464dc","source_url":"https://openai.com/index/using-codex-to-simulate-black-holes","title":"How an astrophysicist uses Codex to help simulate black holes","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"openai","name":"OpenAI","category":"frontier-lab"},"occurred_at":"2026-06-11T00:00:00+00:00","first_seen_at":"2026-06-11T07:01:16.936464+00:00","date_source":"rss.item_date"},{"id":"509ea784-51ec-4ede-855b-5a4d1b27d3be","url":"https://onlylabs.fyi/signals/509ea784-51ec-4ede-855b-5a4d1b27d3be","source_url":"https://openai.com/index/openai-on-oracle-cloud","title":"Access OpenAI models and Codex through your Oracle cloud commitment","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"openai","name":"OpenAI","category":"frontier-lab"},"occurred_at":"2026-06-10T20:00:00+00:00","first_seen_at":"2026-06-11T07:01:16.936464+00:00","date_source":"rss.item_date"},{"id":"4f051449-87f2-466e-941e-b5918381a8fe","url":"https://onlylabs.fyi/signals/4f051449-87f2-466e-941e-b5918381a8fe","source_url":"https://openai.com/index/prc-linked-influence-operations-ai-debates","title":"PRC-linked influence operations are targeting AI debates in the US","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"openai","name":"OpenAI","category":"frontier-lab"},"occurred_at":"2026-06-10T12:00:00+00:00","first_seen_at":"2026-06-11T07:01:16.936464+00:00","date_source":"rss.item_date"},{"id":"4507c0c1-cb74-4bb3-b62b-5f6c2d37e20d","url":"https://onlylabs.fyi/signals/4507c0c1-cb74-4bb3-b62b-5f6c2d37e20d","source_url":"https://openai.com/index/lseg","title":"From data to decisions: how LSEG is scaling trusted AI","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"openai","name":"OpenAI","category":"frontier-lab"},"occurred_at":"2026-06-10T00:00:00+00:00","first_seen_at":"2026-06-10T09:18:54.26094+00:00","date_source":"rss.item_date"},{"id":"fb16aa7a-c4ef-4859-b514-0839c2f1330d","url":"https://onlylabs.fyi/signals/fb16aa7a-c4ef-4859-b514-0839c2f1330d","source_url":"https://openai.com/index/nextdoor","title":"How engineers at Nextdoor use Codex to build without limits","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"openai","name":"OpenAI","category":"frontier-lab"},"occurred_at":"2026-06-09T12:00:00+00:00","first_seen_at":"2026-06-10T07:01:28.700378+00:00","date_source":"rss.item_date"}]}