{"id":"doi:10.1109/access.2017.2777827","kind":"article","title":"System Design Perspective for Human-Level Agents Using Deep Reinforcement Learning: A Survey","authors":["Ngoc Duy Nguyen","Thanh Thi Nguyen","Saeid Nahavandi"],"author_count":3,"year":2017,"published":"2017-01-01","venue":"IEEE Access","cited_by":100,"doi":"10.1109/access.2017.2777827","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1109/access.2017.2777827","archive_url":"https://space-kitty.com/papers/doi:10.1109/access.2017.2777827","updated":null,"pmid":null,"pmcid":null,"openalex_id":"W2768919152","pdf_url":null,"abstract":null,"abstract_license":null,"license":null,"is_open_access":true,"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":[]}