{"id":"W3210590405","doi":"10.1145/3472538.3472541","title":"Leveraging Reinforcement Learning and WaveFunctionCollapse for Improved Procedural Level Generation","year":2021,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","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":[0.0008775807,0.0008284433,0.0004902091,0.0003844557,0.0002777943,0.0008926921,0.00148568,0.0007878848,0.002600456],"category_scores_gemma":[0.004087804,0.0003471139,0.000374624,0.0001863584,0.0007813199,0.001094448,0.001102027,0.001393093,0.0004986174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007588787,"about_ca_system_score_gemma":0.0009257778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002981621,"about_ca_topic_score_gemma":0.004121649,"domain_scores_codex":[0.9996131,0.00009827376,0.00001927548,0.00009056296,0.0001168071,0.00006195873],"domain_scores_gemma":[0.998933,0.0005386046,0.0001338365,0.0001448732,0.000142545,0.0001070951],"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":[0.0001905255,0.0003402301,0.002180824,0.00007051886,0.00004918908,0.0001227088,0.0001478843,0.8404246,0.01439132,0.01310982,0.001268744,0.1277036],"study_design_scores_gemma":[0.00001387958,0.00005532114,0.0001031406,0.000004566516,0.000004464073,0.00001230435,0.000006813062,0.9950337,0.001830437,0.002529989,0.0003993828,0.0000059314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07422934,0.0001117248,0.9180775,0.0002123107,0.00005819981,0.0001537115,0.00004073563,0.001623914,0.005492635],"genre_scores_gemma":[0.8457853,0.00005200593,0.1508381,0.0001463874,0.00001629941,0.000143112,0.00008325422,0.0001442967,0.002791243],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002981621,"threshold_uncertainty_score":0.008699417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07596874726951063,"score_gpt":0.3004781392163355,"score_spread":0.2245093919468249,"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."}}