{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:U5MQWD7VA2ZUCKDIW7MEQAD46P","short_pith_number":"pith:U5MQWD7V","canonical_record":{"source":{"id":"2402.13930","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-02-21T16:52:26Z","cross_cats_sorted":["cs.SY","eess.SY"],"title_canon_sha256":"a9c3b0c13c6b6a6cd0fdf4181b43cf967f923765a649e247f325660ba94e1784","abstract_canon_sha256":"02926e52bd49e19b6ef099104e877f92c714e5948c9cb10079cbb610e4ec005c"},"schema_version":"1.0"},"canonical_sha256":"a7590b0ff506b3412868b7d848007cf3df528b01ae0ee51c995bad133975ca88","source":{"kind":"arxiv","id":"2402.13930","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.13930","created_at":"2026-07-05T08:43:53Z"},{"alias_kind":"arxiv_version","alias_value":"2402.13930v1","created_at":"2026-07-05T08:43:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.13930","created_at":"2026-07-05T08:43:53Z"},{"alias_kind":"pith_short_12","alias_value":"U5MQWD7VA2ZU","created_at":"2026-07-05T08:43:53Z"},{"alias_kind":"pith_short_16","alias_value":"U5MQWD7VA2ZUCKDI","created_at":"2026-07-05T08:43:53Z"},{"alias_kind":"pith_short_8","alias_value":"U5MQWD7V","created_at":"2026-07-05T08:43:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:U5MQWD7VA2ZUCKDIW7MEQAD46P","target":"record","payload":{"canonical_record":{"source":{"id":"2402.13930","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-02-21T16:52:26Z","cross_cats_sorted":["cs.SY","eess.SY"],"title_canon_sha256":"a9c3b0c13c6b6a6cd0fdf4181b43cf967f923765a649e247f325660ba94e1784","abstract_canon_sha256":"02926e52bd49e19b6ef099104e877f92c714e5948c9cb10079cbb610e4ec005c"},"schema_version":"1.0"},"canonical_sha256":"a7590b0ff506b3412868b7d848007cf3df528b01ae0ee51c995bad133975ca88","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:43:53.339917Z","signature_b64":"gqMFOhtm5UhjwGzSN991YCu0bxMaheZezHoSYvVw4lvpRezjOFmWUE2v28MQM4TK6upmvAGgsIDQhfIHVB21Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a7590b0ff506b3412868b7d848007cf3df528b01ae0ee51c995bad133975ca88","last_reissued_at":"2026-07-05T08:43:53.339463Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:43:53.339463Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.13930","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":"2026-07-05T08:43:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+w2gkgsHBkpcW0+z6KLbxt70VpoTQa8kL1akkJGX5I8PT5dN1uHs0amjJCMio3vRQOiIj0164lVYAgpBg9ylCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T08:42:48.684386Z"},"content_sha256":"db77e4c8e9101d4d31d42d0f9666135643c24612f3d8b4c1c6bbb24154d82d74","schema_version":"1.0","event_id":"sha256:db77e4c8e9101d4d31d42d0f9666135643c24612f3d8b4c1c6bbb24154d82d74"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:U5MQWD7VA2ZUCKDIW7MEQAD46P","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Enhancing Reinforcement Learning Agents with Local Guides","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SY","eess.SY"],"primary_cat":"cs.LG","authors_text":"Bogdan Robu, Christophe Prieur, Ludovic Dos Santos, Merwan Barlier, Paul Daoudi","submitted_at":"2024-02-21T16:52:26Z","abstract_excerpt":"This paper addresses the problem of integrating local guide policies into a Reinforcement Learning agent. For this, we show how to adapt existing algorithms to this setting before introducing a novel algorithm based on a noisy policy-switching procedure. This approach builds on a proper Approximate Policy Evaluation (APE) scheme to provide a perturbation that carefully leads the local guides towards better actions. We evaluated our method on a set of classical Reinforcement Learning problems, including safety-critical systems where the agent cannot enter some areas at the risk of triggering ca"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.13930","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/2402.13930/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":"2026-07-05T08:43:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"m8orJtm7l0d/9tv/Gxu3Su3/Wz2NOzivFPabUyxKJMxyYk8N53PI7VJBsPpTNjmhpCi+2D4+2ZnCpizidRpSBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T08:42:48.684882Z"},"content_sha256":"d3c5df660dbdcf80706d43d6964233879cad92cf3a72472f821eeab88724c246","schema_version":"1.0","event_id":"sha256:d3c5df660dbdcf80706d43d6964233879cad92cf3a72472f821eeab88724c246"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/U5MQWD7VA2ZUCKDIW7MEQAD46P/bundle.json","state_url":"https://pith.science/pith/U5MQWD7VA2ZUCKDIW7MEQAD46P/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/U5MQWD7VA2ZUCKDIW7MEQAD46P/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":"2026-08-20T08:42:48Z","links":{"resolver":"https://pith.science/pith/U5MQWD7VA2ZUCKDIW7MEQAD46P","bundle":"https://pith.science/pith/U5MQWD7VA2ZUCKDIW7MEQAD46P/bundle.json","state":"https://pith.science/pith/U5MQWD7VA2ZUCKDIW7MEQAD46P/state.json","well_known_bundle":"https://pith.science/.well-known/pith/U5MQWD7VA2ZUCKDIW7MEQAD46P/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:U5MQWD7VA2ZUCKDIW7MEQAD46P","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":"02926e52bd49e19b6ef099104e877f92c714e5948c9cb10079cbb610e4ec005c","cross_cats_sorted":["cs.SY","eess.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-02-21T16:52:26Z","title_canon_sha256":"a9c3b0c13c6b6a6cd0fdf4181b43cf967f923765a649e247f325660ba94e1784"},"schema_version":"1.0","source":{"id":"2402.13930","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.13930","created_at":"2026-07-05T08:43:53Z"},{"alias_kind":"arxiv_version","alias_value":"2402.13930v1","created_at":"2026-07-05T08:43:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.13930","created_at":"2026-07-05T08:43:53Z"},{"alias_kind":"pith_short_12","alias_value":"U5MQWD7VA2ZU","created_at":"2026-07-05T08:43:53Z"},{"alias_kind":"pith_short_16","alias_value":"U5MQWD7VA2ZUCKDI","created_at":"2026-07-05T08:43:53Z"},{"alias_kind":"pith_short_8","alias_value":"U5MQWD7V","created_at":"2026-07-05T08:43:53Z"}],"graph_snapshots":[{"event_id":"sha256:d3c5df660dbdcf80706d43d6964233879cad92cf3a72472f821eeab88724c246","target":"graph","created_at":"2026-07-05T08:43:53Z","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/2402.13930/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper addresses the problem of integrating local guide policies into a Reinforcement Learning agent. For this, we show how to adapt existing algorithms to this setting before introducing a novel algorithm based on a noisy policy-switching procedure. This approach builds on a proper Approximate Policy Evaluation (APE) scheme to provide a perturbation that carefully leads the local guides towards better actions. We evaluated our method on a set of classical Reinforcement Learning problems, including safety-critical systems where the agent cannot enter some areas at the risk of triggering ca","authors_text":"Bogdan Robu, Christophe Prieur, Ludovic Dos Santos, Merwan Barlier, Paul Daoudi","cross_cats":["cs.SY","eess.SY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-02-21T16:52:26Z","title":"Enhancing Reinforcement Learning Agents with Local Guides"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.13930","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:db77e4c8e9101d4d31d42d0f9666135643c24612f3d8b4c1c6bbb24154d82d74","target":"record","created_at":"2026-07-05T08:43:53Z","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":"02926e52bd49e19b6ef099104e877f92c714e5948c9cb10079cbb610e4ec005c","cross_cats_sorted":["cs.SY","eess.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-02-21T16:52:26Z","title_canon_sha256":"a9c3b0c13c6b6a6cd0fdf4181b43cf967f923765a649e247f325660ba94e1784"},"schema_version":"1.0","source":{"id":"2402.13930","kind":"arxiv","version":1}},"canonical_sha256":"a7590b0ff506b3412868b7d848007cf3df528b01ae0ee51c995bad133975ca88","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a7590b0ff506b3412868b7d848007cf3df528b01ae0ee51c995bad133975ca88","first_computed_at":"2026-07-05T08:43:53.339463Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:43:53.339463Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gqMFOhtm5UhjwGzSN991YCu0bxMaheZezHoSYvVw4lvpRezjOFmWUE2v28MQM4TK6upmvAGgsIDQhfIHVB21Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:43:53.339917Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.13930","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:db77e4c8e9101d4d31d42d0f9666135643c24612f3d8b4c1c6bbb24154d82d74","sha256:d3c5df660dbdcf80706d43d6964233879cad92cf3a72472f821eeab88724c246"],"state_sha256":"fb7a3bc128f8c9e176b5352144323b442a41b1a3b00f927caa6ee280c6dda217"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NZ0YVQfCPzyCAKTdSpN9MIKxKo4FbMJ/qpW6Qg54JPDdNbbZduwVO89ar1hyvI9hYH4sRRO/SBr5bPOdL+qrDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T08:42:48.688757Z","bundle_sha256":"202c457e13153e8d6ccf0c09cd33229521c0ea0da6129d7906f2e7e8e428497e"}}