{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:DPVRIM5O4JYRBVX44WUXVZK2RI","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":"d18a4ceedffd90a9baa1ed8803b91cf25ee1ccaa5c03186832420413faf96879","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-06-03T05:25:27Z","title_canon_sha256":"ac8e85a1a40a8d55554043e14526c564a628fbebf4e26c8c4cdb54c107f17688"},"schema_version":"1.0","source":{"id":"1606.00968","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1606.00968","created_at":"2026-05-18T01:12:59Z"},{"alias_kind":"arxiv_version","alias_value":"1606.00968v1","created_at":"2026-05-18T01:12:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1606.00968","created_at":"2026-05-18T01:12:59Z"},{"alias_kind":"pith_short_12","alias_value":"DPVRIM5O4JYR","created_at":"2026-05-18T12:30:12Z"},{"alias_kind":"pith_short_16","alias_value":"DPVRIM5O4JYRBVX4","created_at":"2026-05-18T12:30:12Z"},{"alias_kind":"pith_short_8","alias_value":"DPVRIM5O","created_at":"2026-05-18T12:30:12Z"}],"graph_snapshots":[{"event_id":"sha256:b96a176e257ec510ea0b9b69a4eac9f070fc26d3f916145a1eea78d84d5a98ed","target":"graph","created_at":"2026-05-18T01:12:59Z","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":"We study the problem of smooth imitation learning for online sequence prediction, where the goal is to train a policy that can smoothly imitate demonstrated behavior in a dynamic and continuous environment in response to online, sequential context input. Since the mapping from context to behavior is often complex, we take a learning reduction approach to reduce smooth imitation learning to a regression problem using complex function classes that are regularized to ensure smoothness. We present a learning meta-algorithm that achieves fast and stable convergence to a good policy. Our approach en","authors_text":"Andrew Kang, Hoang M. Le, Peter Carr, Yisong Yue","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-06-03T05:25:27Z","title":"Smooth Imitation Learning for Online Sequence Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1606.00968","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":"sha256:0e7939bc128c1c66a41235f487886a465a376fdc1044304c4554e87008a45e07","target":"record","created_at":"2026-05-18T01:12:59Z","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":"d18a4ceedffd90a9baa1ed8803b91cf25ee1ccaa5c03186832420413faf96879","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-06-03T05:25:27Z","title_canon_sha256":"ac8e85a1a40a8d55554043e14526c564a628fbebf4e26c8c4cdb54c107f17688"},"schema_version":"1.0","source":{"id":"1606.00968","kind":"arxiv","version":1}},"canonical_sha256":"1beb1433aee27110d6fce5a97ae55a8a354971e4d56791d0e0923b7579ee6dce","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1beb1433aee27110d6fce5a97ae55a8a354971e4d56791d0e0923b7579ee6dce","first_computed_at":"2026-05-18T01:12:59.986867Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:12:59.986867Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"H8CIuvAFAClpotLPm8U4rNQzQ9DHcWTGLqcrUVjQuk9a3lAg/bOlosyvBR3+0XWjjgTjd1Kr2YJPXUL7L9bcBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:12:59.987249Z","signed_message":"canonical_sha256_bytes"},"source_id":"1606.00968","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0e7939bc128c1c66a41235f487886a465a376fdc1044304c4554e87008a45e07","sha256:b96a176e257ec510ea0b9b69a4eac9f070fc26d3f916145a1eea78d84d5a98ed"],"state_sha256":"0ea8735649f6d2c4413b6f72c936ac38642c3f65dd30cc57adba64bd7229efe5"}