{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:KGB6FAFYBZ67NZ73HRBJ225F4T","short_pith_number":"pith:KGB6FAFY","canonical_record":{"source":{"id":"2106.15883","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-06-30T08:15:59Z","cross_cats_sorted":[],"title_canon_sha256":"29bfa12da1af1c49d0795174f015dcadcce7e51d929988a2c13f06d89b558fad","abstract_canon_sha256":"a0fac9b32c0e6cdee473dc6ec7742ef0d9cb2d1d1ea57a064910a80001b66065"},"schema_version":"1.0"},"canonical_sha256":"5183e280b80e7df6e7fb3c429d6ba5e4ebd13829181eaa32bcb3e628fd8ca81f","source":{"kind":"arxiv","id":"2106.15883","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.15883","created_at":"2026-07-05T02:54:01Z"},{"alias_kind":"arxiv_version","alias_value":"2106.15883v1","created_at":"2026-07-05T02:54:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.15883","created_at":"2026-07-05T02:54:01Z"},{"alias_kind":"pith_short_12","alias_value":"KGB6FAFYBZ67","created_at":"2026-07-05T02:54:01Z"},{"alias_kind":"pith_short_16","alias_value":"KGB6FAFYBZ67NZ73","created_at":"2026-07-05T02:54:01Z"},{"alias_kind":"pith_short_8","alias_value":"KGB6FAFY","created_at":"2026-07-05T02:54:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:KGB6FAFYBZ67NZ73HRBJ225F4T","target":"record","payload":{"canonical_record":{"source":{"id":"2106.15883","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-06-30T08:15:59Z","cross_cats_sorted":[],"title_canon_sha256":"29bfa12da1af1c49d0795174f015dcadcce7e51d929988a2c13f06d89b558fad","abstract_canon_sha256":"a0fac9b32c0e6cdee473dc6ec7742ef0d9cb2d1d1ea57a064910a80001b66065"},"schema_version":"1.0"},"canonical_sha256":"5183e280b80e7df6e7fb3c429d6ba5e4ebd13829181eaa32bcb3e628fd8ca81f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:54:01.150417Z","signature_b64":"9pCFR1Ytej27pQL6YanqPZIzV+KjAQlPuFqIB2b55VEL5Y4VK1VOYHQmXWcArPA4w999fkTeuVeToLOU+5c6Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5183e280b80e7df6e7fb3c429d6ba5e4ebd13829181eaa32bcb3e628fd8ca81f","last_reissued_at":"2026-07-05T02:54:01.150029Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:54:01.150029Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2106.15883","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:54:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dc6Ou7eEBVhzrsDzhG2x6RdYe8OT+HwlXLsiHOJhOGLsceJH+1dFsoQtJ1VOH39g6ii1uykSwU1gLrSBqi3uBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T20:37:51.835644Z"},"content_sha256":"88e009c7d9f324745c08787e5a67102037a66889ae9bbe1959dedc69df14981f","schema_version":"1.0","event_id":"sha256:88e009c7d9f324745c08787e5a67102037a66889ae9bbe1959dedc69df14981f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:KGB6FAFYBZ67NZ73HRBJ225F4T","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Jack Parker-Holder, Shaan Desai, Stephen Roberts, Vu Nguyen","submitted_at":"2021-06-30T08:15:59Z","abstract_excerpt":"Despite a series of recent successes in reinforcement learning (RL), many RL algorithms remain sensitive to hyperparameters. As such, there has recently been interest in the field of AutoRL, which seeks to automate design decisions to create more general algorithms. Recent work suggests that population based approaches may be effective AutoRL algorithms, by learning hyperparameter schedules on the fly. In particular, the PB2 algorithm is able to achieve strong performance in RL tasks by formulating online hyperparameter optimization as time varying GP-bandit problem, while also providing theor"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.15883","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/2106.15883/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:54:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"A3T6ks/3Wlzu60Qf7TKupUu9moEoAtF22cqVEA+Au29US0l1+BTrjm5CCAwHTgv7l+fHEHs1kZSFcx1qCkznCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T20:37:51.836137Z"},"content_sha256":"43b233985d9ebd38be40ea1c1c5c19ef9bba315ef4f1b772fdcb547d6ca8ac8f","schema_version":"1.0","event_id":"sha256:43b233985d9ebd38be40ea1c1c5c19ef9bba315ef4f1b772fdcb547d6ca8ac8f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KGB6FAFYBZ67NZ73HRBJ225F4T/bundle.json","state_url":"https://pith.science/pith/KGB6FAFYBZ67NZ73HRBJ225F4T/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KGB6FAFYBZ67NZ73HRBJ225F4T/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-23T20:37:51Z","links":{"resolver":"https://pith.science/pith/KGB6FAFYBZ67NZ73HRBJ225F4T","bundle":"https://pith.science/pith/KGB6FAFYBZ67NZ73HRBJ225F4T/bundle.json","state":"https://pith.science/pith/KGB6FAFYBZ67NZ73HRBJ225F4T/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KGB6FAFYBZ67NZ73HRBJ225F4T/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:KGB6FAFYBZ67NZ73HRBJ225F4T","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":"a0fac9b32c0e6cdee473dc6ec7742ef0d9cb2d1d1ea57a064910a80001b66065","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-06-30T08:15:59Z","title_canon_sha256":"29bfa12da1af1c49d0795174f015dcadcce7e51d929988a2c13f06d89b558fad"},"schema_version":"1.0","source":{"id":"2106.15883","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.15883","created_at":"2026-07-05T02:54:01Z"},{"alias_kind":"arxiv_version","alias_value":"2106.15883v1","created_at":"2026-07-05T02:54:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.15883","created_at":"2026-07-05T02:54:01Z"},{"alias_kind":"pith_short_12","alias_value":"KGB6FAFYBZ67","created_at":"2026-07-05T02:54:01Z"},{"alias_kind":"pith_short_16","alias_value":"KGB6FAFYBZ67NZ73","created_at":"2026-07-05T02:54:01Z"},{"alias_kind":"pith_short_8","alias_value":"KGB6FAFY","created_at":"2026-07-05T02:54:01Z"}],"graph_snapshots":[{"event_id":"sha256:43b233985d9ebd38be40ea1c1c5c19ef9bba315ef4f1b772fdcb547d6ca8ac8f","target":"graph","created_at":"2026-07-05T02:54:01Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2106.15883/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite a series of recent successes in reinforcement learning (RL), many RL algorithms remain sensitive to hyperparameters. As such, there has recently been interest in the field of AutoRL, which seeks to automate design decisions to create more general algorithms. Recent work suggests that population based approaches may be effective AutoRL algorithms, by learning hyperparameter schedules on the fly. In particular, the PB2 algorithm is able to achieve strong performance in RL tasks by formulating online hyperparameter optimization as time varying GP-bandit problem, while also providing theor","authors_text":"Jack Parker-Holder, Shaan Desai, Stephen Roberts, Vu Nguyen","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-06-30T08:15:59Z","title":"Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.15883","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":"sha256:88e009c7d9f324745c08787e5a67102037a66889ae9bbe1959dedc69df14981f","target":"record","created_at":"2026-07-05T02:54:01Z","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":"a0fac9b32c0e6cdee473dc6ec7742ef0d9cb2d1d1ea57a064910a80001b66065","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-06-30T08:15:59Z","title_canon_sha256":"29bfa12da1af1c49d0795174f015dcadcce7e51d929988a2c13f06d89b558fad"},"schema_version":"1.0","source":{"id":"2106.15883","kind":"arxiv","version":1}},"canonical_sha256":"5183e280b80e7df6e7fb3c429d6ba5e4ebd13829181eaa32bcb3e628fd8ca81f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5183e280b80e7df6e7fb3c429d6ba5e4ebd13829181eaa32bcb3e628fd8ca81f","first_computed_at":"2026-07-05T02:54:01.150029Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:54:01.150029Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9pCFR1Ytej27pQL6YanqPZIzV+KjAQlPuFqIB2b55VEL5Y4VK1VOYHQmXWcArPA4w999fkTeuVeToLOU+5c6Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:54:01.150417Z","signed_message":"canonical_sha256_bytes"},"source_id":"2106.15883","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:88e009c7d9f324745c08787e5a67102037a66889ae9bbe1959dedc69df14981f","sha256:43b233985d9ebd38be40ea1c1c5c19ef9bba315ef4f1b772fdcb547d6ca8ac8f"],"state_sha256":"25f678cd4667d4be3767ff77cce08f8465ee65b187501360d17e63cef140b1fb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MiAKKb1Piwl2oFW4TgPdwDpulUYreG3bRhLPR5zK4VDzNRkHhUiXK+tosmNU10YxfE/wiWYqJdDxjfyvqie0Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T20:37:51.839842Z","bundle_sha256":"8f62efb7a44bc50e5082c3765eacc837e2524f3c89716d6fa3adfe6b7bdbf0e5"}}