{"id":"W7124309298","doi":"10.65109/vlwf1223","title":"Transfer Learning based Agent for Automated Negotiation","year":2023,"lang":"","type":"article","venue":"","topic":"Reinforcement Learning in Robotics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Universiteit Maastricht; National Natural Science Foundation of China","keywords":"Negotiation; Transfer of learning; Adaptation (eye); Context (archaeology); Knowledge transfer; Key (lock); Task (project management); Boosting (machine learning)","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":[0.001538014,0.0006738424,0.0007367465,0.0004643412,0.0007083218,0.0009017857,0.001783333,0.001396217,0.006087441],"category_scores_gemma":[0.003290151,0.0002721175,0.0005343764,0.0004437742,0.001313703,0.002016509,0.002043858,0.002090944,0.001190932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009163521,"about_ca_system_score_gemma":0.001283141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001768591,"about_ca_topic_score_gemma":0.001144193,"domain_scores_codex":[0.9991106,0.0003307134,0.00004810867,0.0001423501,0.0002805601,0.00008757653],"domain_scores_gemma":[0.9990369,0.0004929862,0.00009846518,0.0001378667,0.0001497584,0.00008401628],"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":[0.000246167,0.000321472,0.0009031603,0.0002043247,0.00009728737,0.0003576957,0.0002796053,0.6670128,0.008517332,0.1035274,0.005063171,0.2134697],"study_design_scores_gemma":[0.00001783945,0.00003630665,0.0000538655,0.000005954687,0.000005029546,0.00003374087,0.00001196107,0.9754361,0.001177593,0.02100689,0.002206714,0.000007967272],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01112498,0.000291182,0.9792392,0.0003125435,0.00007966738,0.0001557949,0.00002660085,0.001148315,0.007621821],"genre_scores_gemma":[0.7299735,0.0003231443,0.2596667,0.0002317858,0.00008427348,0.0005863339,0.00009436239,0.0001185061,0.008921408],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006087441,"threshold_uncertainty_score":0.02036458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03994887653339272,"score_gpt":0.2890886402997899,"score_spread":0.2491397637663972,"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."}}