{"id":"W3172003993","doi":"10.1007/978-3-030-76928-4_9","title":"Robustness to Approximations and Model Learning in MDPs and POMDPs","year":2021,"lang":"en","type":"book-chapter","venue":"Emergence, complexity and computation","topic":"Machine Learning and Algorithms","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Robustness (evolution); Convergence (economics); Mathematical optimization; Computer science; Optimal control; 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":[0.004166753,0.001171613,0.002084142,0.001140679,0.0008269441,0.003786869,0.001942915,0.002340244,0.00361428],"category_scores_gemma":[0.03602632,0.001073558,0.001684516,0.001313619,0.005451103,0.005917399,0.003835734,0.005498552,0.0003388904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00326217,"about_ca_system_score_gemma":0.001417059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00397197,"about_ca_topic_score_gemma":0.001989909,"domain_scores_codex":[0.9967374,0.001603056,0.0001805948,0.0005696188,0.0007140241,0.0001953222],"domain_scores_gemma":[0.9656722,0.03049703,0.001146222,0.001692416,0.0006854841,0.0003065819],"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":[0.00007309431,0.00002546049,0.000393126,0.0001843288,0.00005966244,0.0000702113,0.0001492367,0.4558901,0.0004086157,0.5230147,0.001386367,0.01834515],"study_design_scores_gemma":[0.00000704717,0.00001255575,0.00008447338,0.00002109391,0.000008272958,0.00001712411,0.00002210945,0.5272475,0.0001725381,0.4716639,0.0007338923,0.000009460863],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.017756,0.001953296,0.9659035,0.001727737,0.0001244714,0.00003819422,0.0001501904,0.0002574926,0.0120892],"genre_scores_gemma":[0.8223984,0.003362675,0.1636188,0.0004974224,0.0003847353,0.0002846395,0.0004065756,0.0003330135,0.008713732],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004166753,"threshold_uncertainty_score":0.02366889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04616066726937957,"score_gpt":0.2798371538038212,"score_spread":0.2336764865344416,"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."}}