{"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/shapechanger-environments-for-transfer","title":"Shapechanger: Environments for Transfer Learning","arxiv_id":"1709.05070","date":"2017-09-15","proceeding":null,"authors":["Sébastien M. R. Arnold","Tsam Kiu Pun","Théo-Tim J. Denisart","Francisco J. Valero-Cuevas"],"abstract":"We present Shapechanger, a library for transfer reinforcement learning\nspecifically designed for robotic tasks. We consider three types of knowledge\ntransfer---from simulation to simulation, from simulation to real, and from\nreal to real---and a wide range of tasks with continuous states and actions.\nShapechanger is under active development and open-sourced at:\nhttps://github.com/seba-1511/shapechanger/.","url_abs":"http://arxiv.org/abs/1709.05070v1","url_pdf":"http://arxiv.org/pdf/1709.05070v1.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":"shapechanger-environments-for-transfer","repo_url":"https://github.com/seba-1511/shapechanger","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"reinforcement-learning","task_name":"Reinforcement Learning"},{"task_slug":"reinforcement-learning-1","task_name":"Reinforcement Learning (RL)"},{"task_slug":"transfer-learning","task_name":"Transfer Learning"},{"task_slug":"transfer-reinforcement-learning","task_name":"Transfer Reinforcement Learning"},{"task_slug":"reinforcement-learning-2","task_name":"reinforcement-learning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}