{"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/imitating-driver-behavior-with-generative","title":"Imitating Driver Behavior with Generative Adversarial Networks","arxiv_id":"1701.06699","date":"2017-01-24","proceeding":null,"authors":["Alex Kuefler","Jeremy Morton","Tim Wheeler","Mykel Kochenderfer"],"abstract":"The ability to accurately predict and simulate human driving behavior is\ncritical for the development of intelligent transportation systems. Traditional\nmodeling methods have employed simple parametric models and behavioral cloning.\nThis paper adopts a method for overcoming the problem of cascading errors\ninherent in prior approaches, resulting in realistic behavior that is robust to\ntrajectory perturbations. We extend Generative Adversarial Imitation Learning\nto the training of recurrent policies, and we demonstrate that our model\noutperforms rule-based controllers and maximum likelihood models in realistic\nhighway simulations. Our model both reproduces emergent behavior of human\ndrivers, such as lane change rate, while maintaining realistic control over\nlong time horizons.","url_abs":"http://arxiv.org/abs/1701.06699v1","url_pdf":"http://arxiv.org/pdf/1701.06699v1.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":"imitating-driver-behavior-with-generative","repo_url":"https://github.com/sisl/gail-driver","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"NOASSERTION"}}],"tasks":[{"task_slug":"imitation-learning","task_name":"Imitation Learning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1701.06699","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}