{"id":"W7130596087","doi":"10.1109/icec2nt65402.2025.11380054","title":"Dueling Double Deep Q-Networks for Regime-Aware and Risk-Conscious Stock Trading: Evidence from NIFTY 50","year":2025,"lang":"","type":"article","venue":"","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Reinforcement learning; Sharpe ratio; Stock market; Profitability index; Stock exchange; Database transaction; Volatility (finance); Stock market index; Markov chain","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":[0.001885459,0.0005422997,0.0005028158,0.0002898404,0.0004135305,0.0007746285,0.00124693,0.0009551088,0.001587949],"category_scores_gemma":[0.008012267,0.0002849485,0.0004146227,0.000226332,0.0010893,0.001710284,0.0009177322,0.001798539,0.0002173852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008208346,"about_ca_system_score_gemma":0.0006516917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005790584,"about_ca_topic_score_gemma":0.004516059,"domain_scores_codex":[0.9996122,0.0001352489,0.00001851702,0.0001023165,0.00007299792,0.00005880115],"domain_scores_gemma":[0.9977409,0.001372832,0.0002073786,0.0002892888,0.0002332297,0.0001562956],"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":[0.0005356749,0.0003783215,0.01060762,0.00011952,0.0001267697,0.0002984603,0.0001541689,0.8740744,0.003948785,0.01873314,0.003422283,0.08760086],"study_design_scores_gemma":[0.00001495641,0.00005237843,0.0005166664,0.000004819143,0.000005633176,0.00001693532,0.000009005775,0.9916644,0.0006897796,0.00672122,0.0002979474,0.000006295611],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8127137,0.001541668,0.1756717,0.001316021,0.0001840866,0.0000669763,0.0002106702,0.001034041,0.007261011],"genre_scores_gemma":[0.9859495,0.0001216998,0.01260311,0.0001253692,0.00001607889,0.00001616335,0.0001151453,0.00002978435,0.001023194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005790584,"threshold_uncertainty_score":0.01151377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1321848584319325,"score_gpt":0.406342407047304,"score_spread":0.2741575486153715,"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."}}