{"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/gotta-learn-fast-a-new-benchmark-for","title":"Gotta Learn Fast: A New Benchmark for Generalization in RL","arxiv_id":"1804.03720","date":"2018-04-10","proceeding":null,"authors":["Alex Nichol","Vicki Pfau","Christopher Hesse","Oleg Klimov","John Schulman"],"abstract":"In this report, we present a new reinforcement learning (RL) benchmark based\non the Sonic the Hedgehog (TM) video game franchise. This benchmark is intended\nto measure the performance of transfer learning and few-shot learning\nalgorithms in the RL domain. We also present and evaluate some baseline\nalgorithms on the new benchmark.","url_abs":"http://arxiv.org/abs/1804.03720v2","url_pdf":"http://arxiv.org/pdf/1804.03720v2.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":"gotta-learn-fast-a-new-benchmark-for","repo_url":"https://github.com/dsapandora/s_cera","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"GPL-3.0"}},{"paper_slug":"gotta-learn-fast-a-new-benchmark-for","repo_url":"https://github.com/goolulusaurs/WorldModels","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"gotta-learn-fast-a-new-benchmark-for","repo_url":"https://github.com/vcadillog/PPO-Mario-Bros-Tensorflow-2","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}}],"tasks":[{"task_slug":"few-shot-learning","task_name":"Few-Shot Learning"},{"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":"reinforcement-learning-2","task_name":"reinforcement-learning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1804.03720","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}