{"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/benchmark-environments-for-multitask-learning","title":"Benchmark Environments for Multitask Learning in Continuous Domains","arxiv_id":"1708.04352","date":"2017-08-14","proceeding":null,"authors":["Peter Henderson","Wei-Di Chang","Florian Shkurti","Johanna Hansen","David Meger","Gregory Dudek"],"abstract":"As demand drives systems to generalize to various domains and problems, the\nstudy of multitask, transfer and lifelong learning has become an increasingly\nimportant pursuit. In discrete domains, performance on the Atari game suite has\nemerged as the de facto benchmark for assessing multitask learning. However, in\ncontinuous domains there is a lack of agreement on standard multitask\nevaluation environments which makes it difficult to compare different\napproaches fairly. In this work, we describe a benchmark set of tasks that we\nhave developed in an extendable framework based on OpenAI Gym. We run a simple\nbaseline using Trust Region Policy Optimization and release the framework\npublicly to be expanded and used for the systematic comparison of multitask,\ntransfer, and lifelong learning in continuous domains.","url_abs":"http://arxiv.org/abs/1708.04352v1","url_pdf":"http://arxiv.org/pdf/1708.04352v1.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":"benchmark-environments-for-multitask-learning","repo_url":"https://github.com/Breakend/gym-extensions","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":"lifelong-learning","task_name":"Lifelong learning"},{"task_slug":"openai-gym","task_name":"OpenAI Gym"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1708.04352","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}