{"id":"W2754517384","doi":"10.1609/aaai.v32i1.11694","title":"Deep Reinforcement Learning That Matters","year":2018,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Reinforcement Learning in Robotics","field":"Computer Science","cited_by":1504,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Open Philanthropy Project; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Reinforcement learning; Computer science; Standardization; Benchmark (surveying); Artificial intelligence; Field (mathematics); Variance (accounting); Deep learning; Machine learning; Data science; Risk analysis (engineering); Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07088540185984533,"score_gpt":0.288866159836522,"score_spread":0.2179807579766767,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}