{"id":"W4382050679","doi":"10.1109/icuas57906.2023.10156452","title":"Coordinated Multi-Robot Exploration using Reinforcement Learning","year":2023,"lang":"en","type":"article","venue":"","topic":"Reinforcement Learning in Robotics","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Reinforcement learning; Computer science; Artificial intelligence; Robot; Robotics; Focus (optics); Process (computing); Autonomous agent; Human–computer interaction; 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":[0.001185629,0.0007486288,0.001028682,0.0003420811,0.0003564554,0.000586466,0.001146102,0.0006770404,0.0008128091],"category_scores_gemma":[0.002362493,0.0002900494,0.0004022997,0.0002705668,0.0009327545,0.000646049,0.0009934419,0.0008386117,0.0001468611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000726689,"about_ca_system_score_gemma":0.001009091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003883051,"about_ca_topic_score_gemma":0.002642134,"domain_scores_codex":[0.9994375,0.0002055494,0.00002634901,0.000116685,0.0001254417,0.0000884551],"domain_scores_gemma":[0.9985335,0.0007626365,0.0002688107,0.000130511,0.0001744244,0.0001302338],"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":[0.00005465968,0.00004323521,0.0004304517,0.00001978457,0.00002624998,0.00004251748,0.00002181099,0.986241,0.0008267389,0.001423295,0.0001765008,0.01069383],"study_design_scores_gemma":[0.000009897007,0.00002653051,0.00004905908,0.000001589027,0.000002658799,0.000005729811,0.000002868879,0.9988506,0.0001566694,0.0008186609,0.00007392174,0.000001828208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09320889,0.0004770986,0.9025642,0.0002591218,0.00005081064,0.00008271034,0.00003256374,0.0006686386,0.00265583],"genre_scores_gemma":[0.9710186,0.00007391402,0.02803751,0.00004411807,0.00001391179,0.00007043657,0.00002314554,0.00001637473,0.0007021076],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003883051,"threshold_uncertainty_score":0.007720947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1063968779157954,"score_gpt":0.3174147247572612,"score_spread":0.2110178468414659,"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."}}