{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:YSVO6K6KEOEDHWB55XXQRYNGLB","short_pith_number":"pith:YSVO6K6K","schema_version":"1.0","canonical_sha256":"c4aaef2bca238833d83dedef08e1a6585088c1f78f0a88986c291dcefefc344f","source":{"kind":"arxiv","id":"1807.01164","version":2},"attestation_state":"computed","paper":{"title":"A Decoupled Data Based Approach to Stochastic Optimal Control Problems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.OC"],"primary_cat":"cs.SY","authors_text":"Dan Yu, Mohammandhussen Rafieisakhaei, Suman Chakravorty","submitted_at":"2018-07-01T12:49:08Z","abstract_excerpt":"This paper studies the stochastic optimal control problem for systems with unknown dynamics. A novel decoupled data based control (D2C) approach is proposed, which solves the problem in a decoupled \"open loop-closed loop\" fashion that is shown to be near-optimal. First, an open-loop deterministic trajectory optimization problem is solved using a black-box simulation model of the dynamical system using a standard nonlinear programming (NLP) solver. Then a Linear Quadratic Regulator (LQR) controller is designed for the nominal trajectory-dependent linearized system which is learned using input-o"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1807.01164","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2018-07-01T12:49:08Z","cross_cats_sorted":["math.OC"],"title_canon_sha256":"89951046482d561555c5583adb1e6a895cd889b6c7cd766407d449996833c830","abstract_canon_sha256":"bbf1ccb7bc25aa217dd63781a462b4571dcc9995c8e788ccbd23f20a9917d351"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:06:11.255953Z","signature_b64":"E/NQtH0m4PAxaveEpYxW4ZKYyuCCx47W7NEldQ0CrReobbA7OnwyR/LzUdmN6ma5qHbZgheNDYGvxjUmT+YgAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c4aaef2bca238833d83dedef08e1a6585088c1f78f0a88986c291dcefefc344f","last_reissued_at":"2026-05-18T00:06:11.255237Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:06:11.255237Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Decoupled Data Based Approach to Stochastic Optimal Control Problems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.OC"],"primary_cat":"cs.SY","authors_text":"Dan Yu, Mohammandhussen Rafieisakhaei, Suman Chakravorty","submitted_at":"2018-07-01T12:49:08Z","abstract_excerpt":"This paper studies the stochastic optimal control problem for systems with unknown dynamics. A novel decoupled data based control (D2C) approach is proposed, which solves the problem in a decoupled \"open loop-closed loop\" fashion that is shown to be near-optimal. First, an open-loop deterministic trajectory optimization problem is solved using a black-box simulation model of the dynamical system using a standard nonlinear programming (NLP) solver. Then a Linear Quadratic Regulator (LQR) controller is designed for the nominal trajectory-dependent linearized system which is learned using input-o"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.01164","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1807.01164","created_at":"2026-05-18T00:06:11.255328+00:00"},{"alias_kind":"arxiv_version","alias_value":"1807.01164v2","created_at":"2026-05-18T00:06:11.255328+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.01164","created_at":"2026-05-18T00:06:11.255328+00:00"},{"alias_kind":"pith_short_12","alias_value":"YSVO6K6KEOED","created_at":"2026-05-18T12:33:04.347982+00:00"},{"alias_kind":"pith_short_16","alias_value":"YSVO6K6KEOEDHWB5","created_at":"2026-05-18T12:33:04.347982+00:00"},{"alias_kind":"pith_short_8","alias_value":"YSVO6K6K","created_at":"2026-05-18T12:33:04.347982+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/YSVO6K6KEOEDHWB55XXQRYNGLB","json":"https://pith.science/pith/YSVO6K6KEOEDHWB55XXQRYNGLB.json","graph_json":"https://pith.science/api/pith-number/YSVO6K6KEOEDHWB55XXQRYNGLB/graph.json","events_json":"https://pith.science/api/pith-number/YSVO6K6KEOEDHWB55XXQRYNGLB/events.json","paper":"https://pith.science/paper/YSVO6K6K"},"agent_actions":{"view_html":"https://pith.science/pith/YSVO6K6KEOEDHWB55XXQRYNGLB","download_json":"https://pith.science/pith/YSVO6K6KEOEDHWB55XXQRYNGLB.json","view_paper":"https://pith.science/paper/YSVO6K6K","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1807.01164&json=true","fetch_graph":"https://pith.science/api/pith-number/YSVO6K6KEOEDHWB55XXQRYNGLB/graph.json","fetch_events":"https://pith.science/api/pith-number/YSVO6K6KEOEDHWB55XXQRYNGLB/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YSVO6K6KEOEDHWB55XXQRYNGLB/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YSVO6K6KEOEDHWB55XXQRYNGLB/action/storage_attestation","attest_author":"https://pith.science/pith/YSVO6K6KEOEDHWB55XXQRYNGLB/action/author_attestation","sign_citation":"https://pith.science/pith/YSVO6K6KEOEDHWB55XXQRYNGLB/action/citation_signature","submit_replication":"https://pith.science/pith/YSVO6K6KEOEDHWB55XXQRYNGLB/action/replication_record"}},"created_at":"2026-05-18T00:06:11.255328+00:00","updated_at":"2026-05-18T00:06:11.255328+00:00"}