{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/emergence-of-grounded-compositional-language","title":"Emergence of Grounded Compositional Language in Multi-Agent Populations","arxiv_id":"1703.04908","date":"2017-03-15","proceeding":null,"authors":["Igor Mordatch","Pieter Abbeel"],"abstract":"By capturing statistical patterns in large corpora, machine learning has\nenabled significant advances in natural language processing, including in\nmachine translation, question answering, and sentiment analysis. However, for\nagents to intelligently interact with humans, simply capturing the statistical\npatterns is insufficient. In this paper we investigate if, and how, grounded\ncompositional language can emerge as a means to achieve goals in multi-agent\npopulations. Towards this end, we propose a multi-agent learning environment\nand learning methods that bring about emergence of a basic compositional\nlanguage. This language is represented as streams of abstract discrete symbols\nuttered by agents over time, but nonetheless has a coherent structure that\npossesses a defined vocabulary and syntax. We also observe emergence of\nnon-verbal communication such as pointing and guiding when language\ncommunication is unavailable.","url_abs":"http://arxiv.org/abs/1703.04908v2","url_pdf":"http://arxiv.org/pdf/1703.04908v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"emergence-of-grounded-compositional-language","repo_url":"https://github.com/ShashwatNigam99/MARBLER","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"machine-translation","task_name":"Machine Translation"},{"task_slug":"question-answering","task_name":"Question Answering"},{"task_slug":"sentiment-analysis","task_name":"Sentiment Analysis"},{"task_slug":"translation","task_name":"Translation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1703.04908","atlas_url":"https://app.syntology.ai/?focus=1703.04908","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}