{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2012:IKR6KFZYITWNKDHI3A47ZECC5J","short_pith_number":"pith:IKR6KFZY","schema_version":"1.0","canonical_sha256":"42a3e5173844ecd50ce8d839fc9042ea560856eb5d7a39062248541e5a550c26","source":{"kind":"arxiv","id":"1207.5208","version":1},"attestation_state":"computed","paper":{"title":"Meta-Learning of Exploration/Exploitation Strategies: The Multi-Armed Bandit Case","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ML"],"primary_cat":"cs.AI","authors_text":"Damien Ernst, Francis Maes, Louis Wehenkel","submitted_at":"2012-07-22T09:34:49Z","abstract_excerpt":"The exploration/exploitation (E/E) dilemma arises naturally in many subfields of Science. Multi-armed bandit problems formalize this dilemma in its canonical form. Most current research in this field focuses on generic solutions that can be applied to a wide range of problems. However, in practice, it is often the case that a form of prior information is available about the specific class of target problems. Prior knowledge is rarely used in current solutions due to the lack of a systematic approach to incorporate it into the E/E strategy.\n  To address a specific class of E/E problems, we prop"},"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":"1207.5208","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2012-07-22T09:34:49Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"d16caf85b8a947d366e473db02b93b4709fa71590b81b6e20e0e6bb4cfc0999e","abstract_canon_sha256":"4b6c565551e1237a19f5df63f5fec2516705bdc9d51335952aee744b5b8c3a15"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:50:24.154102Z","signature_b64":"G4Ci01Ju0Q+jy/KFbJB7ieMBTbGJh35wX+3wuIt3X4P6G9d0WkIBK6kW+qToQ2jfeF33IIKkBAJfzcgawPG1Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"42a3e5173844ecd50ce8d839fc9042ea560856eb5d7a39062248541e5a550c26","last_reissued_at":"2026-05-18T03:50:24.153298Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:50:24.153298Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Meta-Learning of Exploration/Exploitation Strategies: The Multi-Armed Bandit Case","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ML"],"primary_cat":"cs.AI","authors_text":"Damien Ernst, Francis Maes, Louis Wehenkel","submitted_at":"2012-07-22T09:34:49Z","abstract_excerpt":"The exploration/exploitation (E/E) dilemma arises naturally in many subfields of Science. Multi-armed bandit problems formalize this dilemma in its canonical form. Most current research in this field focuses on generic solutions that can be applied to a wide range of problems. However, in practice, it is often the case that a form of prior information is available about the specific class of target problems. Prior knowledge is rarely used in current solutions due to the lack of a systematic approach to incorporate it into the E/E strategy.\n  To address a specific class of E/E problems, we prop"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1207.5208","kind":"arxiv","version":1},"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":"1207.5208","created_at":"2026-05-18T03:50:24.153450+00:00"},{"alias_kind":"arxiv_version","alias_value":"1207.5208v1","created_at":"2026-05-18T03:50:24.153450+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1207.5208","created_at":"2026-05-18T03:50:24.153450+00:00"},{"alias_kind":"pith_short_12","alias_value":"IKR6KFZYITWN","created_at":"2026-05-18T12:27:09.501522+00:00"},{"alias_kind":"pith_short_16","alias_value":"IKR6KFZYITWNKDHI","created_at":"2026-05-18T12:27:09.501522+00:00"},{"alias_kind":"pith_short_8","alias_value":"IKR6KFZY","created_at":"2026-05-18T12:27:09.501522+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/IKR6KFZYITWNKDHI3A47ZECC5J","json":"https://pith.science/pith/IKR6KFZYITWNKDHI3A47ZECC5J.json","graph_json":"https://pith.science/api/pith-number/IKR6KFZYITWNKDHI3A47ZECC5J/graph.json","events_json":"https://pith.science/api/pith-number/IKR6KFZYITWNKDHI3A47ZECC5J/events.json","paper":"https://pith.science/paper/IKR6KFZY"},"agent_actions":{"view_html":"https://pith.science/pith/IKR6KFZYITWNKDHI3A47ZECC5J","download_json":"https://pith.science/pith/IKR6KFZYITWNKDHI3A47ZECC5J.json","view_paper":"https://pith.science/paper/IKR6KFZY","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1207.5208&json=true","fetch_graph":"https://pith.science/api/pith-number/IKR6KFZYITWNKDHI3A47ZECC5J/graph.json","fetch_events":"https://pith.science/api/pith-number/IKR6KFZYITWNKDHI3A47ZECC5J/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/IKR6KFZYITWNKDHI3A47ZECC5J/action/timestamp_anchor","attest_storage":"https://pith.science/pith/IKR6KFZYITWNKDHI3A47ZECC5J/action/storage_attestation","attest_author":"https://pith.science/pith/IKR6KFZYITWNKDHI3A47ZECC5J/action/author_attestation","sign_citation":"https://pith.science/pith/IKR6KFZYITWNKDHI3A47ZECC5J/action/citation_signature","submit_replication":"https://pith.science/pith/IKR6KFZYITWNKDHI3A47ZECC5J/action/replication_record"}},"created_at":"2026-05-18T03:50:24.153450+00:00","updated_at":"2026-05-18T03:50:24.153450+00:00"}