{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:RGTGTQ3DGIFGU57DVKXABWVWH3","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":"89941efa02b868b220802be124977d11e945c3da9a5332dadeecc56bbcc9a12c","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-04-26T11:04:26Z","title_canon_sha256":"00404ca35efde9076772c7079c19536902e1aa80aa019164ff0e505afb25a9fc"},"schema_version":"1.0","source":{"id":"1904.11761","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.11761","created_at":"2026-05-17T23:47:41Z"},{"alias_kind":"arxiv_version","alias_value":"1904.11761v1","created_at":"2026-05-17T23:47:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.11761","created_at":"2026-05-17T23:47:41Z"},{"alias_kind":"pith_short_12","alias_value":"RGTGTQ3DGIFG","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_16","alias_value":"RGTGTQ3DGIFGU57D","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_8","alias_value":"RGTGTQ3D","created_at":"2026-05-18T12:33:27Z"}],"graph_snapshots":[{"event_id":"sha256:86d300181c9bd287c6692f8b54b18810e1dbe400459cc9ae57421bb421afc90b","target":"graph","created_at":"2026-05-17T23:47:41Z","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":"Scarce data is a major challenge to scaling robot learning to truly complex tasks, as we need to generalize locally learned policies over different task contexts. Contextual policy search offers data-efficient learning and generalization by explicitly conditioning the policy on a parametric context space. In this paper, we further structure the contextual policy representation. We propose to factor contexts into two components: target contexts that describe the task objectives, e.g. target position for throwing a ball; and environment contexts that characterize the environment, e.g. initial po","authors_text":"Andras Kupcsik, David Hsu, Peter Karkus, Robert Pinsler, Wee Sun Lee","cross_cats":["cs.AI","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-04-26T11:04:26Z","title":"Factored Contextual Policy Search with Bayesian Optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.11761","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":"sha256:9260e1bb81898a247a56ade3a8104796e26557df8a80882490fe3b2287641f31","target":"record","created_at":"2026-05-17T23:47:41Z","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":"89941efa02b868b220802be124977d11e945c3da9a5332dadeecc56bbcc9a12c","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-04-26T11:04:26Z","title_canon_sha256":"00404ca35efde9076772c7079c19536902e1aa80aa019164ff0e505afb25a9fc"},"schema_version":"1.0","source":{"id":"1904.11761","kind":"arxiv","version":1}},"canonical_sha256":"89a669c363320a6a77e3aaae00dab63eea1e078bc7c9bb87f530c22812db2c87","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"89a669c363320a6a77e3aaae00dab63eea1e078bc7c9bb87f530c22812db2c87","first_computed_at":"2026-05-17T23:47:41.006511Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:47:41.006511Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RirRVi2faNXAIY2d1YIfZ/NG8b3IPtfSjb+IlyTPlAW4MYW4AjHiye2ia6tZnoodyDJtkyQpzgIeJMmdLzblDA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:47:41.007049Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.11761","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9260e1bb81898a247a56ade3a8104796e26557df8a80882490fe3b2287641f31","sha256:86d300181c9bd287c6692f8b54b18810e1dbe400459cc9ae57421bb421afc90b"],"state_sha256":"9ed6a4c93b7b0de2e69a088ca0c2e97e2122648f54622e103c165ea0b485ca3d"}