{"id":"W4401024442","doi":"10.24963/ijcai.2024/507","title":"Reasoning About Causal Knowledge in Nondeterministic Domains","year":2024,"lang":"en","type":"article","venue":"","topic":"Reinforcement Learning in Robotics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Regina","funders":"Youth Innovation Promotion Association; Tencent; National Key Research and Development Program of China; Youth Innovation Promotion Association of the Chinese Academy of Sciences; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Reinforcement learning; Computer science; Operator (biology); 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":[0.01020761,0.001128628,0.001241039,0.002585009,0.002258037,0.004625687,0.002703861,0.002064132,0.002386267],"category_scores_gemma":[0.03412223,0.001160596,0.002880474,0.001575006,0.006349773,0.0115537,0.004921401,0.00523308,0.0002534435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002750718,"about_ca_system_score_gemma":0.003439407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01118766,"about_ca_topic_score_gemma":0.01141881,"domain_scores_codex":[0.9922064,0.002983684,0.000765673,0.001366981,0.002006073,0.0006712448],"domain_scores_gemma":[0.9652781,0.02733742,0.002644125,0.002380443,0.001597862,0.0007619701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001173482,0.00008607265,0.002196793,0.000243978,0.0001511957,0.0007967384,0.0008139963,0.2641164,0.001402835,0.7006339,0.001043324,0.02839742],"study_design_scores_gemma":[0.00002574555,0.00001846728,0.0002440635,0.00003891089,0.00005112818,0.00008625277,0.0001035408,0.2940516,0.001469132,0.7012516,0.00262503,0.00003454781],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01915965,0.0003650518,0.9755158,0.001382774,0.00006217892,0.0000694435,0.0001320126,0.0004266834,0.002886398],"genre_scores_gemma":[0.6782189,0.0008655227,0.3177368,0.0004305443,0.0002095586,0.0001670944,0.0004508029,0.0001175722,0.00180326],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01118766,"threshold_uncertainty_score":0.05398363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01518561802750348,"score_gpt":0.2941535458412524,"score_spread":0.2789679278137489,"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."}}