{"id":"W4412486683","doi":"10.2514/6.2025-3412","title":"Hybrid Framework for UAV Mission Planning Using Logic-Based Imaging and Reinforcement Learning","year":2025,"lang":"en","type":"article","venue":"","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada)","funders":"","keywords":"Reinforcement learning; Computer science; 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":[0.0004760571,0.0007319507,0.000536325,0.0003868371,0.0003336813,0.0006385649,0.001131993,0.0005333661,0.001793874],"category_scores_gemma":[0.0006183785,0.000265417,0.0005637312,0.0002904736,0.0005672722,0.0006039542,0.0006098252,0.0007116701,0.0002339238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008907507,"about_ca_system_score_gemma":0.001316002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008091636,"about_ca_topic_score_gemma":0.006277468,"domain_scores_codex":[0.9997544,0.00004667254,0.00001101755,0.00006049133,0.00008269131,0.00004476814],"domain_scores_gemma":[0.9997827,0.00009297905,0.00003427918,0.00001691825,0.00005370039,0.00001925479],"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":[0.00004082997,0.00004446038,0.000341304,0.00004254895,0.00002124904,0.00006954572,0.0000428279,0.9484024,0.002539885,0.009400637,0.0003388218,0.03871546],"study_design_scores_gemma":[0.00000640329,0.00002637915,0.0000357446,0.000002728886,0.000004124622,0.0000103363,0.000003673479,0.9975232,0.0004315259,0.001630454,0.0003226819,0.000002758487],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009201817,0.0001409488,0.9878647,0.00005572653,0.00001565027,0.00003458193,0.00001915212,0.000388528,0.002278871],"genre_scores_gemma":[0.7623255,0.0002231742,0.2345079,0.00009804708,0.00003181189,0.0001902487,0.00008449728,0.00005875701,0.002480005],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008091636,"threshold_uncertainty_score":0.01608908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03797626724825653,"score_gpt":0.3299879116264972,"score_spread":0.2920116443782407,"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."}}