{"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/octopus-a-framework-for-cost-quality-time","title":"Octopus: A Framework for Cost-Quality-Time Optimization in Crowdsourcing","arxiv_id":"1702.03488","date":"2017-02-12","proceeding":null,"authors":["Karan Goel","Shreya Rajpal","Mausam"],"abstract":"We present Octopus, an AI agent to jointly balance three conflicting task\nobjectives on a micro-crowdsourcing marketplace - the quality of work, total\ncost incurred, and time to completion. Previous control agents have mostly\nfocused on cost-quality, or cost-time tradeoffs, but not on directly\ncontrolling all three in concert. A naive formulation of three-objective\noptimization is intractable; Octopus takes a hierarchical POMDP approach, with\nthree different components responsible for setting the pay per task, selecting\nthe next task, and controlling task-level quality. We demonstrate that Octopus\nsignificantly outperforms existing state-of-the-art approaches on real\nexperiments. We also deploy Octopus on Amazon Mechanical Turk, showing its\nability to manage tasks in a real-world dynamic setting.","url_abs":"http://arxiv.org/abs/1702.03488v2","url_pdf":"http://arxiv.org/pdf/1702.03488v2.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":"octopus-a-framework-for-cost-quality-time","repo_url":"https://github.com/krandiash/octopus","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"ai-agent","task_name":"AI Agent"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}