{"id":"W2795812275","doi":"10.1007/978-3-319-89656-4_28","title":"Combining MCTS and A3C for Prediction of Spatially Spreading Processes in Forest Wildfire Settings","year":2018,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Monte Carlo tree search; Reinforcement learning; Tree (set theory); Variety (cybernetics); Artificial intelligence; Monte Carlo method; Simulation","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":[0.001721861,0.001154101,0.001659487,0.001714076,0.0006079386,0.001386788,0.002058695,0.001894857,0.003113994],"category_scores_gemma":[0.006360637,0.0006275621,0.00112245,0.001275968,0.0005666408,0.001851395,0.001283342,0.001602305,0.0008351181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009575717,"about_ca_system_score_gemma":0.001353399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04905923,"about_ca_topic_score_gemma":0.04136793,"domain_scores_codex":[0.9996124,0.000107771,0.00003077623,0.0001118777,0.00007292537,0.00006425926],"domain_scores_gemma":[0.9950907,0.003673532,0.0002203054,0.0002111667,0.0005201644,0.0002840549],"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":[0.0002716062,0.0001515004,0.009453702,0.00007833717,0.0001206579,0.00008686297,0.00003449419,0.9361144,0.0007381371,0.002083032,0.0019564,0.04891092],"study_design_scores_gemma":[0.000002250265,0.000004243953,0.0001580936,0.000001745243,0.000003285527,0.000002169341,0.000001915017,0.9992211,0.00003043897,0.0005491141,0.00002401712,0.000001627338],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3574253,0.002131802,0.6301971,0.0008443997,0.0003962006,0.000149689,0.002248576,0.003023727,0.00358321],"genre_scores_gemma":[0.9230629,0.0002923388,0.07307997,0.0001508021,0.0001859445,0.00009437024,0.001521719,0.0001327035,0.001479237],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04905923,"threshold_uncertainty_score":0.09754735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02495777098595334,"score_gpt":0.262024020636842,"score_spread":0.2370662496508887,"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."}}