{"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/home-a-household-multimodal-environment","title":"HoME: a Household Multimodal Environment","arxiv_id":"1711.11017","date":"2017-11-29","proceeding":null,"authors":["Simon Brodeur","Ethan Perez","Ankesh Anand","Florian Golemo","Luca Celotti","Florian Strub","Jean Rouat","Hugo Larochelle","Aaron Courville"],"abstract":"We introduce HoME: a Household Multimodal Environment for artificial agents\nto learn from vision, audio, semantics, physics, and interaction with objects\nand other agents, all within a realistic context. HoME integrates over 45,000\ndiverse 3D house layouts based on the SUNCG dataset, a scale which may\nfacilitate learning, generalization, and transfer. HoME is an open-source,\nOpenAI Gym-compatible platform extensible to tasks in reinforcement learning,\nlanguage grounding, sound-based navigation, robotics, multi-agent learning, and\nmore. We hope HoME better enables artificial agents to learn as humans do: in\nan interactive, multimodal, and richly contextualized setting.","url_abs":"http://arxiv.org/abs/1711.11017v1","url_pdf":"http://arxiv.org/pdf/1711.11017v1.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":[],"tasks":[{"task_slug":"openai-gym","task_name":"OpenAI Gym"},{"task_slug":"reinforcement-learning","task_name":"Reinforcement Learning"},{"task_slug":"reinforcement-learning-1","task_name":"Reinforcement Learning (RL)"},{"task_slug":"reinforcement-learning-2","task_name":"reinforcement-learning"}],"methods":[],"datasets_introduced":[{"slug":"home","name":"HoME","full_name":"Household Multimodal Environment"}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1711.11017","atlas_url":"https://app.syntology.ai/?focus=1711.11017","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}