{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:NPNA3SZK3MRX4ACWKJ7XGOMMFJ","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"1abc5df6718a868ec49f2b6992ec48412727120f34c93373d95c1eb6025e680e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2018-08-21T06:11:09Z","title_canon_sha256":"e0eae15a92d9739577e68c1d3167eeda65824a6a0b5673013687b5155991a728"},"schema_version":"1.0","source":{"id":"1808.10427","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1808.10427","created_at":"2026-05-18T00:06:48Z"},{"alias_kind":"arxiv_version","alias_value":"1808.10427v1","created_at":"2026-05-18T00:06:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.10427","created_at":"2026-05-18T00:06:48Z"},{"alias_kind":"pith_short_12","alias_value":"NPNA3SZK3MRX","created_at":"2026-05-18T12:32:40Z"},{"alias_kind":"pith_short_16","alias_value":"NPNA3SZK3MRX4ACW","created_at":"2026-05-18T12:32:40Z"},{"alias_kind":"pith_short_8","alias_value":"NPNA3SZK","created_at":"2026-05-18T12:32:40Z"}],"graph_snapshots":[{"event_id":"sha256:336b518e2d60353fdf8953e30c26adeada2f2fcbbd5003a9294d9d2100b18f7b","target":"graph","created_at":"2026-05-18T00:06:48Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Common approaches to control a data-center cooling system rely on approximated system/environment models that are built upon the knowledge of mechanical cooling and electrical and thermal management. These models are difficult to design and often lead to suboptimal or unstable performance. In this paper, we show how deep reinforcement learning techniques can be used to control the cooling system of a simulated data center. In contrast to common control algorithms, those based on reinforcement learning techniques can optimize a system's performance automatically without the need of explicit mod","authors_text":"Asim Munawar, Giovanni De Magistris, Michiaki Tatsubori, Ryuki Tachibana, Takao Moriyama, Tu-Hoa Pham","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2018-08-21T06:11:09Z","title":"Reinforcement Learning Testbed for Power-Consumption Optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.10427","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:0072b2ec0357796071b7dee23e140bb5a9980e0032dc61a0c3efc3c602c7b1ba","target":"record","created_at":"2026-05-18T00:06:48Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"1abc5df6718a868ec49f2b6992ec48412727120f34c93373d95c1eb6025e680e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2018-08-21T06:11:09Z","title_canon_sha256":"e0eae15a92d9739577e68c1d3167eeda65824a6a0b5673013687b5155991a728"},"schema_version":"1.0","source":{"id":"1808.10427","kind":"arxiv","version":1}},"canonical_sha256":"6bda0dcb2adb237e0056527f73398c2a41ed5e19c81ab45b0d049fb7e3172a2d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6bda0dcb2adb237e0056527f73398c2a41ed5e19c81ab45b0d049fb7e3172a2d","first_computed_at":"2026-05-18T00:06:48.868475Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:06:48.868475Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bmgEcqpYjCO7zuyrMe+0p2RYem2q08euf2EModqn1F6WMZuWiIcaGNvbfUUIMJb2rsW9ow4CW/e42xbU3NowAg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:06:48.868897Z","signed_message":"canonical_sha256_bytes"},"source_id":"1808.10427","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0072b2ec0357796071b7dee23e140bb5a9980e0032dc61a0c3efc3c602c7b1ba","sha256:336b518e2d60353fdf8953e30c26adeada2f2fcbbd5003a9294d9d2100b18f7b"],"state_sha256":"194418550e2f6860f08dc81239607208d8b3e8775a4d4695e12968cd75874125"}