{"id":"doi:10.1109/thms.2019.2912447","kind":"article","title":"Human-Centered Reinforcement Learning: A Survey","authors":["Guangliang Li","Randy Gómez","Keisuke Nakamura","Bo He"],"author_count":4,"year":2019,"published":"2019-05-08","venue":"IEEE Transactions on Human-Machine Systems","cited_by":123,"doi":"10.1109/thms.2019.2912447","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1109/thms.2019.2912447","archive_url":"https://space-kitty.com/papers/doi:10.1109/thms.2019.2912447","updated":null,"pmid":null,"pmcid":null,"openalex_id":"W2944766483","pdf_url":null,"abstract":null,"abstract_license":null,"license":null,"is_open_access":false,"retracted":false,"peer_reviewed":null,"categories":["Reinforcement Learning in Robotics"],"details":null,"provenance":"openalex","attribution":"Metadata and citation counts: OpenAlex (CC0).","topics":[{"slug":"alignment-safety","name":"AI Alignment & Safety","domain_slug":"ai"}],"cited_in_dossiers":[]}