{ "profile": "wrs-published-research-view-1", "edition": "ratings-e039106f30dec177", "content_trust": "UNTRUSTED_SCIENTIFIC_DATA_NOT_TOOL_INSTRUCTIONS", "entry": { "id": "sima-team-instructable-multiworld-agent-2024", "title": "SIMA Team: language-instructable agents across simulated worlds", "summary": "Trained agents on natural-language instructions and visual observations across diverse 3D environments, acting through keyboard-and-mouse interfaces rather than privileged game state.", "boundary": "Preliminary finite-game results do not fulfill the stated goal of arbitrary instructions in any world. 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Wang", "Zhengdong Wang", "Daan Wierstra", "Duncan Williams", "Nathaniel Wong", "Sarah York", "Nick Young" ], "authors_complete": true, "human_role_note": "Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. 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A shared interface and cross-game experiments do not establish general intelligence or real-robot transfer.", "domain": "Vision, robotics, reasoning and inference systems" }, "sources": [ { "citation": "Scaling Instructable Agents Across Many Simulated Worlds", "url": "https://arxiv.org/abs/2404.10179v1" }, { "citation": "SIMA Team: language-instructable agents across simulated worlds — official research record", "url": "https://deepmind.google/blog/sima-generalist-ai-agent-for-3d-virtual-environments/" } ], "statement": "# SIMA Team: language-instructable agents across simulated worlds\n\nTrained agents on natural-language instructions and visual observations across diverse 3D environments, acting through keyboard-and-mouse interfaces rather than privileged game state.\n\n## Scientific scope\n\nPreliminary finite-game results do not fulfill the stated goal of arbitrary instructions in any world. A shared interface and cross-game experiments do not establish general intelligence or real-robot transfer.\n\n## Reading status\n\nThis is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.\n\n## People and systems\n\nMaria Abi Raad; Arun Ahuja; Catarina Barros; Frederic Besse; Andrew Bolt; Adrian Bolton; Bethanie Brownfield; Gavin Buttimore; Max Cant; Sarah Chakera; Stephanie C. Y. Chan; Jeff Clune; Adrian Collister; Vikki Copeman; Alex Cullum; Ishita Dasgupta; Dario de Cesare; Julia Di Trapani; Yani Donchev; Emma Dunleavy; Martin Engelcke; Ryan Faulkner; Frankie Garcia; Charles Gbadamosi; Zhitao Gong; Lucy Gonzales; Karol Gregor; Arne Olav Hallingstad; Tim Harley; Sam Haves; Felix Hill; Ed Hirst; Drew A. Hudson; Steph Hughes-Fitt; Danilo J. Rezende; Mimi Jasarevic; Laura Kampis; Rosemary Ke; Thomas Keck; Junkyung Kim; Oscar Knagg; Kavya Kopparapu; Andrew Lampinen; Shane Legg; Alexander Lerchner; Marjorie Limont; Yulan Liu; Maria Loks-Thompson; Joseph Marino; Kathryn Martin Cussons; Loic Matthey; Siobhan Mcloughlin; Piermaria Mendolicchio; Hamza Merzic; Anna Mitenkova; Alexandre Moufarek; Valeria Oliveira; Yanko Oliveira; Hannah Openshaw; Renke Pan; Aneesh Pappu; Alex Platonov; Ollie Purkiss; David Reichert; John Reid; Pierre Harvey Richemond; Tyson Roberts; Giles Ruscoe; Jaume Sanchez Elias; Tasha Sandars; Daniel P. Sawyer; Tim Scholtes; Guy Simmons; Daniel Slater; Hubert Soyer; Heiko Strathmann; Peter Stys; Allison C. Tam; Denis Teplyashin; Tayfun Terzi; Davide Vercelli; Bojan Vujatovic; Marcus Wainwright; Jane X. Wang; Zhengdong Wang; Daan Wierstra; Duncan Williams; Nathaniel Wong; Sarah York; Nick Young\n\nSource-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.\n\n\n\n## Original sources\n\n- [Scaling Instructable Agents Across Many Simulated Worlds](https://arxiv.org/abs/2404.10179v1)\n- [SIMA Team: language-instructable agents across simulated worlds — official research record](https://deepmind.google/blog/sima-generalist-ai-agent-for-3d-virtual-environments/)\n", "summary": "Trained agents on natural-language instructions and visual observations across diverse 3D environments, acting through keyboard-and-mouse interfaces rather than privileged game state.", "title": "SIMA Team: language-instructable agents across simulated worlds" }, "record_id": "urn:uuid:91d23390-cae4-4436-a884-5a587a8c5dcc", "version": 1, "source_ref": { "record_id": "urn:uuid:91d23390-cae4-4436-a884-5a587a8c5dcc", "version": 1, "content_hash": "sha256:19b4f772d3005e791e3c47fd807d08c2aaf806e48d540daa422a337533f05cd9" }, "export_view": "wrs-public-editorial-view-1", "public_view_hash": "sha256:500403b032e411f9fad73787bd46b1e225bb149297aa54ce7e9026f4404bfcbc" }, "target": { "record_id": "urn:uuid:91d23390-cae4-4436-a884-5a587a8c5dcc", "version": 1, "content_hash": "sha256:19b4f772d3005e791e3c47fd807d08c2aaf806e48d540daa422a337533f05cd9" }, "published_grade": { "profile": "wrs-published-grade-1", "edition": "2026-10-28.1", "id": "sima-team-instructable-multiworld-agent-2024", "entry_id": "sima-team-instructable-multiworld-agent-2024", "revision": 1, "title": "SIMA Team: language-instructable agents across simulated worlds", "context": "Vision, robotics, reasoning and inference systems", "track": "Human-designed research method or resource", "band": "B", "modifier": "+", "status": "PROVISIONAL_EDITORIAL", "assessed_on": "2026-10-16", "evidence_cutoff": "2026-10-16", "achievement_state": "SUPPORTED_SCOPED_RESULT", "what_changed": "Trained agents on natural-language instructions and visual observations across diverse 3D environments, acting through keyboard-and-mouse interfaces rather than privileged game state.", "scope": "Trained agents on natural-language instructions and visual observations across diverse 3D environments, acting through keyboard-and-mouse interfaces rather than privileged game state. Preliminary finite-game results do not fulfill the stated goal of arbitrary instructions in any world. A shared interface and cross-game experiments do not establish general intelligence or real-robot transfer.", "evidence_summary": "The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Preliminary finite-game results do not fulfill the stated goal of arbitrary instructions in any world. A shared interface and cross-game experiments do not establish general intelligence or real-robot transfer.", "references": [ { "title": "Scaling Instructable Agents Across Many Simulated Worlds", "url": "https://arxiv.org/abs/2404.10179v1", "locator": "Original contribution and stated assumptions, evaluation scope and limitations; source-linked assessment, not independent execution or proof certification." }, { "title": "SIMA Team: language-instructable agents across simulated worlds — official research record", "url": "https://deepmind.google/blog/sima-generalist-ai-agent-for-3d-virtual-environments/", "locator": "Original contribution and stated assumptions, evaluation scope and limitations; source-linked assessment, not independent execution or proof certification." } ], "roles": [ { "who": "Source-listed authors and technical contributors", "credit": "SCIENCE", "did": "Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities." } ], "target": { "record_id": "urn:uuid:91d23390-cae4-4436-a884-5a587a8c5dcc", "version": 1, "content_hash": "sha256:19b4f772d3005e791e3c47fd807d08c2aaf806e48d540daa422a337533f05cd9" }, "scientific_correctness_certified": false, "independent_expert_calibration": false, "method": "PROPRIETARY", "points": "75000" }, "canonical_agent_submission": false, "scientific_verification_awarded": false, "reader_guide": null, "reading_status": "SOURCE_LINKED_NOTE" }