{"id":"W4309997788","doi":"10.23919/wmnc56391.2022.9954301","title":"Multi-Agent Actor-Critic for Cooperative Resource Allocation in Vehicular Networks","year":2022,"lang":"en","type":"article","venue":"","topic":"Reinforcement Learning in Robotics","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Reinforcement learning; Resource allocation; Quality of service; Scarcity; Distributed computing; Resource (disambiguation); Resource management (computing); Computer network; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001473029,0.001122865,0.001099582,0.0003509846,0.0003928632,0.0007508093,0.001148298,0.001057933,0.001124884],"category_scores_gemma":[0.00290664,0.000446872,0.0004514825,0.0003260622,0.001040182,0.0005051153,0.0009633317,0.001187605,0.0001766703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000939977,"about_ca_system_score_gemma":0.001162977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007843683,"about_ca_topic_score_gemma":0.005752818,"domain_scores_codex":[0.9994891,0.0002131728,0.000023694,0.0000980256,0.00009361915,0.00008229117],"domain_scores_gemma":[0.9983827,0.001106815,0.0001698089,0.00005258518,0.0001996473,0.00008849127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002016719,0.000008299664,0.0001539478,0.00001661644,0.00001365505,0.00003386032,0.00001438209,0.9944817,0.0002840459,0.001790429,0.0001427638,0.003040275],"study_design_scores_gemma":[0.000003021577,0.000005784917,0.00001811225,0.000001389837,0.000001902592,0.000002353871,0.000001739615,0.9992798,0.00004745597,0.0005819369,0.00005552189,0.000001162788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03444556,0.0006368045,0.9599745,0.0003602705,0.00008034513,0.00004361878,0.0000296532,0.0002775268,0.00415165],"genre_scores_gemma":[0.9683529,0.0001769088,0.02853272,0.00009384772,0.00003009967,0.00009758573,0.00004094312,0.0000296984,0.002645277],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007843683,"threshold_uncertainty_score":0.01559603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02763291788261548,"score_gpt":0.2692623007355205,"score_spread":0.241629382852905,"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."}}