{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:Q4AAM5XCZUFAYK7JN4AKNIX6B4","short_pith_number":"pith:Q4AAM5XC","canonical_record":{"source":{"id":"1811.06711","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2018-11-16T09:06:54Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"c3daea00d63b5cc132542fdfa1415f8b0c754f2e245912cb28c85967495e25b1","abstract_canon_sha256":"5c62ccf3bb58d921afcee6cff2a4d8dd99fa26f6e9cc22bddb1131aaed14f522"},"schema_version":"1.0"},"canonical_sha256":"87000676e2cd0a0c2be96f00a6a2fe0f245d55e7acb88cd1ef81963937a007a6","source":{"kind":"arxiv","id":"1811.06711","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.06711","created_at":"2026-05-18T00:00:34Z"},{"alias_kind":"arxiv_version","alias_value":"1811.06711v1","created_at":"2026-05-18T00:00:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.06711","created_at":"2026-05-18T00:00:34Z"},{"alias_kind":"pith_short_12","alias_value":"Q4AAM5XCZUFA","created_at":"2026-05-18T12:32:46Z"},{"alias_kind":"pith_short_16","alias_value":"Q4AAM5XCZUFAYK7J","created_at":"2026-05-18T12:32:46Z"},{"alias_kind":"pith_short_8","alias_value":"Q4AAM5XC","created_at":"2026-05-18T12:32:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:Q4AAM5XCZUFAYK7JN4AKNIX6B4","target":"record","payload":{"canonical_record":{"source":{"id":"1811.06711","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2018-11-16T09:06:54Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"c3daea00d63b5cc132542fdfa1415f8b0c754f2e245912cb28c85967495e25b1","abstract_canon_sha256":"5c62ccf3bb58d921afcee6cff2a4d8dd99fa26f6e9cc22bddb1131aaed14f522"},"schema_version":"1.0"},"canonical_sha256":"87000676e2cd0a0c2be96f00a6a2fe0f245d55e7acb88cd1ef81963937a007a6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:00:34.061666Z","signature_b64":"o1hUQuZVzH7gncDO+ZbTd965MrTWf2CpQ1uix7+LnYFCc/agLYHnwQnbaSa/toS7jVWP2JW8zhWWmNgdei2+Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"87000676e2cd0a0c2be96f00a6a2fe0f245d55e7acb88cd1ef81963937a007a6","last_reissued_at":"2026-05-18T00:00:34.061151Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:00:34.061151Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1811.06711","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":"2026-05-18T00:00:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2P6Gp/dOg0GqkBkOWR4GHCMo8+2S1pz0KzmrQedQGvtsykQZuPsTBiVoEVBB3QHIEfWi1fgxUzTyPyuXUf/lDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-29T19:01:28.580790Z"},"content_sha256":"7ea1c21b7f03fa847202509f98ad18db4350697845371268fb2ac6b2a127bb9f","schema_version":"1.0","event_id":"sha256:7ea1c21b7f03fa847202509f98ad18db4350697845371268fb2ac6b2a127bb9f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:Q4AAM5XCZUFAYK7JN4AKNIX6B4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"An Algorithmic Perspective on Imitation Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.RO","authors_text":"Gerhard Neumann, J. Andrew Bagnell, Jan Peters, Joni Pajarinen, Pieter Abbeel, Takayuki Osa","submitted_at":"2018-11-16T09:06:54Z","abstract_excerpt":"As robots and other intelligent agents move from simple environments and problems to more complex, unstructured settings, manually programming their behavior has become increasingly challenging and expensive. Often, it is easier for a teacher to demonstrate a desired behavior rather than attempt to manually engineer it. This process of learning from demonstrations, and the study of algorithms to do so, is called imitation learning. This work provides an introduction to imitation learning. It covers the underlying assumptions, approaches, and how they relate; the rich set of algorithms develope"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.06711","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":""},"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":"2026-05-18T00:00:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yCwvZQCm+E9KBe4nYKGZUh3VVHefy9WHs4B/dhrCrLCFSjk5xYMf/eKMmi+rDrbDFECqKBiZaYV3DtxpKeYTBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-29T19:01:28.581436Z"},"content_sha256":"34de5a0fb567d7686ec49fe00ce8580246328f86fab8fd54c443e291f742e0dc","schema_version":"1.0","event_id":"sha256:34de5a0fb567d7686ec49fe00ce8580246328f86fab8fd54c443e291f742e0dc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Q4AAM5XCZUFAYK7JN4AKNIX6B4/bundle.json","state_url":"https://pith.science/pith/Q4AAM5XCZUFAYK7JN4AKNIX6B4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Q4AAM5XCZUFAYK7JN4AKNIX6B4/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":"2026-05-29T19:01:28Z","links":{"resolver":"https://pith.science/pith/Q4AAM5XCZUFAYK7JN4AKNIX6B4","bundle":"https://pith.science/pith/Q4AAM5XCZUFAYK7JN4AKNIX6B4/bundle.json","state":"https://pith.science/pith/Q4AAM5XCZUFAYK7JN4AKNIX6B4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Q4AAM5XCZUFAYK7JN4AKNIX6B4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:Q4AAM5XCZUFAYK7JN4AKNIX6B4","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":"5c62ccf3bb58d921afcee6cff2a4d8dd99fa26f6e9cc22bddb1131aaed14f522","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2018-11-16T09:06:54Z","title_canon_sha256":"c3daea00d63b5cc132542fdfa1415f8b0c754f2e245912cb28c85967495e25b1"},"schema_version":"1.0","source":{"id":"1811.06711","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.06711","created_at":"2026-05-18T00:00:34Z"},{"alias_kind":"arxiv_version","alias_value":"1811.06711v1","created_at":"2026-05-18T00:00:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.06711","created_at":"2026-05-18T00:00:34Z"},{"alias_kind":"pith_short_12","alias_value":"Q4AAM5XCZUFA","created_at":"2026-05-18T12:32:46Z"},{"alias_kind":"pith_short_16","alias_value":"Q4AAM5XCZUFAYK7J","created_at":"2026-05-18T12:32:46Z"},{"alias_kind":"pith_short_8","alias_value":"Q4AAM5XC","created_at":"2026-05-18T12:32:46Z"}],"graph_snapshots":[{"event_id":"sha256:34de5a0fb567d7686ec49fe00ce8580246328f86fab8fd54c443e291f742e0dc","target":"graph","created_at":"2026-05-18T00:00:34Z","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":"As robots and other intelligent agents move from simple environments and problems to more complex, unstructured settings, manually programming their behavior has become increasingly challenging and expensive. Often, it is easier for a teacher to demonstrate a desired behavior rather than attempt to manually engineer it. This process of learning from demonstrations, and the study of algorithms to do so, is called imitation learning. This work provides an introduction to imitation learning. It covers the underlying assumptions, approaches, and how they relate; the rich set of algorithms develope","authors_text":"Gerhard Neumann, J. Andrew Bagnell, Jan Peters, Joni Pajarinen, Pieter Abbeel, Takayuki Osa","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2018-11-16T09:06:54Z","title":"An Algorithmic Perspective on Imitation Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.06711","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":"sha256:7ea1c21b7f03fa847202509f98ad18db4350697845371268fb2ac6b2a127bb9f","target":"record","created_at":"2026-05-18T00:00:34Z","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":"5c62ccf3bb58d921afcee6cff2a4d8dd99fa26f6e9cc22bddb1131aaed14f522","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2018-11-16T09:06:54Z","title_canon_sha256":"c3daea00d63b5cc132542fdfa1415f8b0c754f2e245912cb28c85967495e25b1"},"schema_version":"1.0","source":{"id":"1811.06711","kind":"arxiv","version":1}},"canonical_sha256":"87000676e2cd0a0c2be96f00a6a2fe0f245d55e7acb88cd1ef81963937a007a6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"87000676e2cd0a0c2be96f00a6a2fe0f245d55e7acb88cd1ef81963937a007a6","first_computed_at":"2026-05-18T00:00:34.061151Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:00:34.061151Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"o1hUQuZVzH7gncDO+ZbTd965MrTWf2CpQ1uix7+LnYFCc/agLYHnwQnbaSa/toS7jVWP2JW8zhWWmNgdei2+Dw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:00:34.061666Z","signed_message":"canonical_sha256_bytes"},"source_id":"1811.06711","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7ea1c21b7f03fa847202509f98ad18db4350697845371268fb2ac6b2a127bb9f","sha256:34de5a0fb567d7686ec49fe00ce8580246328f86fab8fd54c443e291f742e0dc"],"state_sha256":"072ad51a4938236a6f01024bd110a9e9f98f82c26f9c4aa3ef5e259cca90ac2e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oomaWufzLF1TuDWVQIx/yvc7Xs82f8tdQj8osfAShoekToWEF/pK+Jy37TaaAkyt+xdXkh+5OTrZ/WLkk+hNDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-29T19:01:28.585079Z","bundle_sha256":"f485fde0ebcc79f21782ddc61cc5420d6a007e266d1bad94206f016a074d8bc2"}}