{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:ZBS42XRIPTHC3R6NHS6U7PC4UO","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":"af9602e4d7a5eeee060efd5eeb823eb25edf85ca70a3353c063f533b385b5793","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2017-06-11T12:32:30Z","title_canon_sha256":"dfb5915e2a3e1d198a3184c8abcbb6d8036abddb23c4c23183ac03a3ad49f32d"},"schema_version":"1.0","source":{"id":"1706.04038","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.04038","created_at":"2026-05-18T00:42:24Z"},{"alias_kind":"arxiv_version","alias_value":"1706.04038v1","created_at":"2026-05-18T00:42:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.04038","created_at":"2026-05-18T00:42:24Z"},{"alias_kind":"pith_short_12","alias_value":"ZBS42XRIPTHC","created_at":"2026-05-18T12:31:59Z"},{"alias_kind":"pith_short_16","alias_value":"ZBS42XRIPTHC3R6N","created_at":"2026-05-18T12:31:59Z"},{"alias_kind":"pith_short_8","alias_value":"ZBS42XRI","created_at":"2026-05-18T12:31:59Z"}],"graph_snapshots":[{"event_id":"sha256:7e03c96f458115615d4fb5d73d5eb6de8a0a58f7e604343e012615500fb0347b","target":"graph","created_at":"2026-05-18T00:42:24Z","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":"The success of automated driving deployment is highly depending on the ability to develop an efficient and safe driving policy. The problem is well formulated under the framework of optimal control as a cost optimization problem. Model based solutions using traditional planning are efficient, but require the knowledge of the environment model. On the other hand, model free solutions suffer sample inefficiency and require too many interactions with the environment, which is infeasible in practice. Methods under the Reinforcement Learning framework usually require the notion of a reward function","authors_text":"Ahmad El Sallab, Mahmoud Saeed, Mohammed Abdou, Omar Abdel Tawab","cross_cats":["stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2017-06-11T12:32:30Z","title":"Meta learning Framework for Automated Driving"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.04038","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":"sha256:6c43e17bb7b0bd47abc7d5d3fed4cdd28bc87bd6dff74cb6ffd99b916487fd27","target":"record","created_at":"2026-05-18T00:42:24Z","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":"af9602e4d7a5eeee060efd5eeb823eb25edf85ca70a3353c063f533b385b5793","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2017-06-11T12:32:30Z","title_canon_sha256":"dfb5915e2a3e1d198a3184c8abcbb6d8036abddb23c4c23183ac03a3ad49f32d"},"schema_version":"1.0","source":{"id":"1706.04038","kind":"arxiv","version":1}},"canonical_sha256":"c865cd5e287cce2dc7cd3cbd4fbc5ca39e8c79687a1aa73972bef62e58ff3449","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c865cd5e287cce2dc7cd3cbd4fbc5ca39e8c79687a1aa73972bef62e58ff3449","first_computed_at":"2026-05-18T00:42:24.686766Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:42:24.686766Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Zr8RZbO2F5EZ5N41yB0FI8/eHMcxo83Dz1FfZm+fnJx1dkefHH6dwecNQb24gY+M/CXASCGenW4v6C1VW+Z4Cw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:42:24.687833Z","signed_message":"canonical_sha256_bytes"},"source_id":"1706.04038","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6c43e17bb7b0bd47abc7d5d3fed4cdd28bc87bd6dff74cb6ffd99b916487fd27","sha256:7e03c96f458115615d4fb5d73d5eb6de8a0a58f7e604343e012615500fb0347b"],"state_sha256":"c80ad5fcbed5de601a082d5b4a109d321adb5c6e19a757a9737b023ab74b213f"}