{"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/probabilistic-programs-for-inferring-the","title":"Probabilistic programs for inferring the goals of autonomous agents","arxiv_id":"1704.04977","date":"2017-04-17","proceeding":null,"authors":["Marco F. Cusumano-Towner","Alexey Radul","David Wingate","Vikash K. Mansinghka"],"abstract":"Intelligent systems sometimes need to infer the probable goals of people,\ncars, and robots, based on partial observations of their motion. This paper\nintroduces a class of probabilistic programs for formulating and solving these\nproblems. The formulation uses randomized path planning algorithms as the basis\nfor probabilistic models of the process by which autonomous agents plan to\nachieve their goals. Because these path planning algorithms do not have\ntractable likelihood functions, new inference algorithms are needed. This paper\nproposes two Monte Carlo techniques for these \"likelihood-free\" models, one of\nwhich can use likelihood estimates from neural networks to accelerate\ninference. The paper demonstrates efficacy on three simple examples, each using\nunder 50 lines of probabilistic code.","url_abs":"http://arxiv.org/abs/1704.04977v2","url_pdf":"http://arxiv.org/pdf/1704.04977v2.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":"probabilistic-programs-for-inferring-the","repo_url":"https://github.com/cimat-ris/GoalInferenceGAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"unanswered"}}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1704.04977","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}