{"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/the-atari-grand-challenge-dataset","title":"The Atari Grand Challenge Dataset","arxiv_id":"1705.10998","date":"2017-05-31","proceeding":null,"authors":["Vitaly Kurin","Sebastian Nowozin","Katja Hofmann","Lucas Beyer","Bastian Leibe"],"abstract":"Recent progress in Reinforcement Learning (RL), fueled by its combination,\nwith Deep Learning has enabled impressive results in learning to interact with\ncomplex virtual environments, yet real-world applications of RL are still\nscarce. A key limitation is data efficiency, with current state-of-the-art\napproaches requiring millions of training samples. A promising way to tackle\nthis problem is to augment RL with learning from human demonstrations. However,\nhuman demonstration data is not yet readily available. This hinders progress in\nthis direction. The present work addresses this problem as follows. We (i)\ncollect and describe a large dataset of human Atari 2600 replays -- the largest\nand most diverse such data set publicly released to date, (ii) illustrate an\nexample use of this dataset by analyzing the relation between demonstration\nquality and imitation learning performance, and (iii) outline possible research\ndirections that are opened up by our work.","url_abs":"http://arxiv.org/abs/1705.10998v1","url_pdf":"http://arxiv.org/pdf/1705.10998v1.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":"the-atari-grand-challenge-dataset","repo_url":"https://github.com/yobibyte/atarigrandchallenge","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":{"status":"unanswered"}},{"paper_slug":"the-atari-grand-challenge-dataset","repo_url":"https://github.com/Rowing0914/Atari-Grand-Challenge-Processor","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":"imitation-learning","task_name":"Imitation Learning"},{"task_slug":"reinforcement-learning","task_name":"Reinforcement Learning"},{"task_slug":"reinforcement-learning-1","task_name":"Reinforcement Learning (RL)"}],"methods":[],"datasets_introduced":[{"slug":"atari-grand-challenge","name":"Atari Grand Challenge","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=1705.10998","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}