{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:6RGBXEXWXVW6YIPIZYW32PJFW2","short_pith_number":"pith:6RGBXEXW","schema_version":"1.0","canonical_sha256":"f44c1b92f6bd6dec21e8ce2dbd3d25b69b26104b5fb03cec81bc5984c60c0bac","source":{"kind":"arxiv","id":"2201.13288","version":3},"attestation_state":"computed","paper":{"title":"A Regret Minimization Approach to Multi-Agent Control","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ML"],"primary_cat":"math.OC","authors_text":"Elad Hazan, Naomi Leonard, Udari Madhushani, Udaya Ghai","submitted_at":"2022-01-28T14:57:59Z","abstract_excerpt":"We study the problem of multi-agent control of a dynamical system with known dynamics and adversarial disturbances. Our study focuses on optimal control without centralized precomputed policies, but rather with adaptive control policies for the different agents that are only equipped with a stabilizing controller. We give a reduction from any (standard) regret minimizing control method to a distributed algorithm. The reduction guarantees that the resulting distributed algorithm has low regret relative to the optimal precomputed joint policy. Our methodology involves generalizing online convex "},"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":"2201.13288","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2022-01-28T14:57:59Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"640d7278b275c9cc2843c3b0a929a83bd4e931f4980d213c5350d7984b17384b","abstract_canon_sha256":"909c49168209ae23f48f9345a2ee09af1412cc4530a6a3c7e353fa99b6685150"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:43:38.983892Z","signature_b64":"z36vt2JPeE/y0o04m9WNEOgRFf1w0rNh4yF1xn+nLaT76c9v3WctFQKQDYb27flYBbpkl3rNcmSe3Q3Kam8GAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f44c1b92f6bd6dec21e8ce2dbd3d25b69b26104b5fb03cec81bc5984c60c0bac","last_reissued_at":"2026-07-05T04:43:38.983547Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:43:38.983547Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Regret Minimization Approach to Multi-Agent Control","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ML"],"primary_cat":"math.OC","authors_text":"Elad Hazan, Naomi Leonard, Udari Madhushani, Udaya Ghai","submitted_at":"2022-01-28T14:57:59Z","abstract_excerpt":"We study the problem of multi-agent control of a dynamical system with known dynamics and adversarial disturbances. Our study focuses on optimal control without centralized precomputed policies, but rather with adaptive control policies for the different agents that are only equipped with a stabilizing controller. We give a reduction from any (standard) regret minimizing control method to a distributed algorithm. The reduction guarantees that the resulting distributed algorithm has low regret relative to the optimal precomputed joint policy. Our methodology involves generalizing online convex "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2201.13288","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2201.13288/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2201.13288","created_at":"2026-07-05T04:43:38.983603+00:00"},{"alias_kind":"arxiv_version","alias_value":"2201.13288v3","created_at":"2026-07-05T04:43:38.983603+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2201.13288","created_at":"2026-07-05T04:43:38.983603+00:00"},{"alias_kind":"pith_short_12","alias_value":"6RGBXEXWXVW6","created_at":"2026-07-05T04:43:38.983603+00:00"},{"alias_kind":"pith_short_16","alias_value":"6RGBXEXWXVW6YIPI","created_at":"2026-07-05T04:43:38.983603+00:00"},{"alias_kind":"pith_short_8","alias_value":"6RGBXEXW","created_at":"2026-07-05T04:43:38.983603+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/6RGBXEXWXVW6YIPIZYW32PJFW2","json":"https://pith.science/pith/6RGBXEXWXVW6YIPIZYW32PJFW2.json","graph_json":"https://pith.science/api/pith-number/6RGBXEXWXVW6YIPIZYW32PJFW2/graph.json","events_json":"https://pith.science/api/pith-number/6RGBXEXWXVW6YIPIZYW32PJFW2/events.json","paper":"https://pith.science/paper/6RGBXEXW"},"agent_actions":{"view_html":"https://pith.science/pith/6RGBXEXWXVW6YIPIZYW32PJFW2","download_json":"https://pith.science/pith/6RGBXEXWXVW6YIPIZYW32PJFW2.json","view_paper":"https://pith.science/paper/6RGBXEXW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2201.13288&json=true","fetch_graph":"https://pith.science/api/pith-number/6RGBXEXWXVW6YIPIZYW32PJFW2/graph.json","fetch_events":"https://pith.science/api/pith-number/6RGBXEXWXVW6YIPIZYW32PJFW2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/6RGBXEXWXVW6YIPIZYW32PJFW2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/6RGBXEXWXVW6YIPIZYW32PJFW2/action/storage_attestation","attest_author":"https://pith.science/pith/6RGBXEXWXVW6YIPIZYW32PJFW2/action/author_attestation","sign_citation":"https://pith.science/pith/6RGBXEXWXVW6YIPIZYW32PJFW2/action/citation_signature","submit_replication":"https://pith.science/pith/6RGBXEXWXVW6YIPIZYW32PJFW2/action/replication_record"}},"created_at":"2026-07-05T04:43:38.983603+00:00","updated_at":"2026-07-05T04:43:38.983603+00:00"}