{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001194484,0.0003657698,0.0003320768,0.0004596299,0.0006570811,0.0006681503,0.0008280599,0.000222183,0.0003455673],"category_scores_gemma":[0.0003384567,0.0003834533,0.0002895539,0.00187173,0.00005927654,0.0008012738,0.0001354058,0.0003352166,0.001397552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001521237,"about_ca_system_score_gemma":0.0003026871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001781738,"about_ca_topic_score_gemma":0.000001914076,"domain_scores_codex":[0.9965708,0.0002236161,0.0007504637,0.0007575213,0.0007264332,0.0009711604],"domain_scores_gemma":[0.9982469,0.0006182842,0.0001235923,0.0005685647,0.0002785463,0.0001640949],"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":[0.00001885003,0.00002512626,0.0002100494,0.0001745346,0.00004948749,0.000006241748,0.0008206958,0.9801797,0.0007483618,0.003916725,0.005446597,0.008403688],"study_design_scores_gemma":[0.001352657,0.0005861545,0.001232849,0.00008882711,0.00004603146,0.00000104895,0.0001013667,0.9698942,0.001958156,0.00002076163,0.02427339,0.0004445368],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002225064,0.00001754671,0.9854609,0.002934643,0.001810786,0.001039429,0.000002329314,0.005222414,0.001286846],"genre_scores_gemma":[0.9501805,0.00004201658,0.02467243,0.00127699,0.0001670583,0.0001024983,0.0001370444,0.00007580528,0.02334571],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9607885,"threshold_uncertainty_score":0.9998617,"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."}}