{"id":"W4375923538","doi":"10.1609/aaai.v29i1.9747","title":"Representation Discovery for MDPs Using Bisimulation Metrics","year":2015,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Bisimulation; Metric (unit); Computer science; Representation (politics); Computation; Convergence (economics); Sequence (biology); Markov decision process; Theoretical computer science; State space; Metric space; State (computer science); Algorithm; Mathematical optimization; Markov process; 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":[0.003472736,0.001533218,0.001489572,0.002717778,0.000955721,0.002167327,0.002304277,0.001450934,0.003148112],"category_scores_gemma":[0.02042529,0.0009671265,0.00231094,0.001818925,0.001647089,0.004114798,0.004099817,0.002533501,0.0007622713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002420091,"about_ca_system_score_gemma":0.003221108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004808185,"about_ca_topic_score_gemma":0.004785617,"domain_scores_codex":[0.9966578,0.00114513,0.0002632417,0.0005822236,0.001159517,0.0001920335],"domain_scores_gemma":[0.9927435,0.004618606,0.0006475191,0.0009613684,0.0008614988,0.0001674869],"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":[0.00007893367,0.00007064181,0.0007879511,0.0002153456,0.00006470475,0.00009754047,0.0002608003,0.6964738,0.002613764,0.1670067,0.001074697,0.1312552],"study_design_scores_gemma":[0.0000102667,0.0000253349,0.0000371924,0.00002030286,0.00000752741,0.00002019891,0.00002119311,0.9425176,0.001207557,0.05504993,0.001073342,0.000009611668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002902844,0.00003921657,0.9961915,0.00005720972,0.000006456005,0.00005651788,0.00004570794,0.000259573,0.0004408929],"genre_scores_gemma":[0.1197155,0.000134642,0.8785263,0.00005540868,0.0000150107,0.0004267398,0.0004030136,0.0001849598,0.0005384074],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004808185,"threshold_uncertainty_score":0.0183658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3270810998951719,"score_gpt":0.3819641333340382,"score_spread":0.05488303343886636,"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."}}