{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:KPTYELAUWINYPSHD4ZEMYSOYQN","short_pith_number":"pith:KPTYELAU","schema_version":"1.0","canonical_sha256":"53e7822c14b21b87c8e3e648cc49d8834bba12fd4dd817f67e68062bfaf0a88a","source":{"kind":"arxiv","id":"2608.11324","version":1},"attestation_state":"computed","paper":{"title":"Contextual Quality-Diversity Evolutionary Reinforcement Learning for HVAC Control in Tropical Commercial Buildings","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI","cs.NE","math.OC"],"primary_cat":"cs.LG","authors_text":"Tran Le Vu","submitted_at":"2026-08-11T18:16:59Z","abstract_excerpt":"This paper proposes a contextual quality-diversity evolutionary reinforcement-learning controller, CQD-ERL, for the supervisory control of a tropical, water-cooled chiller plant and its associated air side. Rather than converging to a single scalarised policy, the controller maintains a product archive of specialised policies indexed jointly by a data- driven operating context, a cluster of daily weather and load regime, and a context-invariant behaviour descriptor, filled by a gradient-free evolutionary operator and a soft-actor-critic policy-gradient operator that share one replay buffer. Ev"},"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":"2608.11324","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-08-11T18:16:59Z","cross_cats_sorted":["cs.AI","cs.NE","math.OC"],"title_canon_sha256":"a5434343ed82b0230e2b9531c9e01a35608b8828ed94830c6a3b35eac86dcd4c","abstract_canon_sha256":"bacba7a61d4b2e0636dde44dd3f80c579225d554aeb23145f89d98343d7ac37e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-13T00:21:35.674087Z","signature_b64":"J1k6GhtaViPQcSkmnWnfWdHRLuzWls2QmTxWat3TKLcr2unUsV+IRqpoXwfkVW7gB5OEVqIOD7zIvRBqAe/6Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"53e7822c14b21b87c8e3e648cc49d8834bba12fd4dd817f67e68062bfaf0a88a","last_reissued_at":"2026-08-13T00:21:35.656450Z","signature_status":"signed_v1","first_computed_at":"2026-08-13T00:21:35.656450Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Contextual Quality-Diversity Evolutionary Reinforcement Learning for HVAC Control in Tropical Commercial Buildings","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI","cs.NE","math.OC"],"primary_cat":"cs.LG","authors_text":"Tran Le Vu","submitted_at":"2026-08-11T18:16:59Z","abstract_excerpt":"This paper proposes a contextual quality-diversity evolutionary reinforcement-learning controller, CQD-ERL, for the supervisory control of a tropical, water-cooled chiller plant and its associated air side. Rather than converging to a single scalarised policy, the controller maintains a product archive of specialised policies indexed jointly by a data- driven operating context, a cluster of daily weather and load regime, and a context-invariant behaviour descriptor, filled by a gradient-free evolutionary operator and a soft-actor-critic policy-gradient operator that share one replay buffer. Ev"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.11324","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2608.11324/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":"2608.11324","created_at":"2026-08-13T00:21:35.672454+00:00"},{"alias_kind":"arxiv_version","alias_value":"2608.11324v1","created_at":"2026-08-13T00:21:35.672454+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.11324","created_at":"2026-08-13T00:21:35.672454+00:00"},{"alias_kind":"pith_short_12","alias_value":"KPTYELAUWINY","created_at":"2026-08-13T00:21:35.672454+00:00"},{"alias_kind":"pith_short_16","alias_value":"KPTYELAUWINYPSHD","created_at":"2026-08-13T00:21:35.672454+00:00"},{"alias_kind":"pith_short_8","alias_value":"KPTYELAU","created_at":"2026-08-13T00:21:35.672454+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/KPTYELAUWINYPSHD4ZEMYSOYQN","json":"https://pith.science/pith/KPTYELAUWINYPSHD4ZEMYSOYQN.json","graph_json":"https://pith.science/api/pith-number/KPTYELAUWINYPSHD4ZEMYSOYQN/graph.json","events_json":"https://pith.science/api/pith-number/KPTYELAUWINYPSHD4ZEMYSOYQN/events.json","paper":"https://pith.science/paper/KPTYELAU"},"agent_actions":{"view_html":"https://pith.science/pith/KPTYELAUWINYPSHD4ZEMYSOYQN","download_json":"https://pith.science/pith/KPTYELAUWINYPSHD4ZEMYSOYQN.json","view_paper":"https://pith.science/paper/KPTYELAU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2608.11324&json=true","fetch_graph":"https://pith.science/api/pith-number/KPTYELAUWINYPSHD4ZEMYSOYQN/graph.json","fetch_events":"https://pith.science/api/pith-number/KPTYELAUWINYPSHD4ZEMYSOYQN/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/KPTYELAUWINYPSHD4ZEMYSOYQN/action/timestamp_anchor","attest_storage":"https://pith.science/pith/KPTYELAUWINYPSHD4ZEMYSOYQN/action/storage_attestation","attest_author":"https://pith.science/pith/KPTYELAUWINYPSHD4ZEMYSOYQN/action/author_attestation","sign_citation":"https://pith.science/pith/KPTYELAUWINYPSHD4ZEMYSOYQN/action/citation_signature","submit_replication":"https://pith.science/pith/KPTYELAUWINYPSHD4ZEMYSOYQN/action/replication_record"}},"created_at":"2026-08-13T00:21:35.672454+00:00","updated_at":"2026-08-13T00:21:35.672454+00:00"}