{"id":"W4383097456","doi":"10.1109/icra48891.2023.10160572","title":"On Legible and Predictable Robot Navigation in Multi-Agent Environments","year":2023,"lang":"en","type":"article","venue":"","topic":"Reinforcement Learning in Robotics","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Legibility; Predictability; Computer science; Robot; Generalization; Artificial intelligence; Human–computer interaction; Computer vision; Mathematics","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":[0.001405854,0.0007047165,0.000508571,0.000595219,0.0006025812,0.001100976,0.0008658135,0.000883358,0.001389113],"category_scores_gemma":[0.006549263,0.0004181534,0.0007105526,0.0004837499,0.00334294,0.002583395,0.002013804,0.001246793,0.0002255664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001027937,"about_ca_system_score_gemma":0.001024619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003358737,"about_ca_topic_score_gemma":0.003222127,"domain_scores_codex":[0.999092,0.0003484135,0.00005328199,0.0001536106,0.0002825537,0.00007025923],"domain_scores_gemma":[0.9956983,0.002757436,0.000581741,0.0005086458,0.0002746127,0.0001791903],"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":[0.00009144512,0.00004317745,0.001768537,0.0001053297,0.00002934526,0.000202528,0.0002476241,0.84363,0.003222151,0.1151747,0.0003951369,0.03508999],"study_design_scores_gemma":[0.00001210081,0.00005801188,0.0004266803,0.00002173223,0.000009058934,0.00004353051,0.00002787289,0.8914736,0.00134831,0.105632,0.0009307344,0.00001631322],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02661891,0.0002290076,0.9701807,0.0002375129,0.00001458119,0.00003028135,0.00003626434,0.0002491148,0.002403609],"genre_scores_gemma":[0.7487243,0.0005875831,0.2481858,0.0001218586,0.00004674452,0.000129908,0.0001215144,0.0001110168,0.001971213],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003358737,"threshold_uncertainty_score":0.00745827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03375273494739207,"score_gpt":0.2678673256716823,"score_spread":0.2341145907242903,"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."}}