{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:YZSVZQHIYMSQYGP3CTW52IBSEW","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":"f0f8fff28e27a802bf41185ac13e306fdf5d5c342bf42c11589633184b55c952","cross_cats_sorted":["cs.AI","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-06-12T20:21:40Z","title_canon_sha256":"e64d6ab4ee10bfb1ad7285ef01b19f4c92e2874af34aa652b94433aa41a8729b"},"schema_version":"1.0","source":{"id":"2306.07408","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.07408","created_at":"2026-07-05T06:20:03Z"},{"alias_kind":"arxiv_version","alias_value":"2306.07408v1","created_at":"2026-07-05T06:20:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.07408","created_at":"2026-07-05T06:20:03Z"},{"alias_kind":"pith_short_12","alias_value":"YZSVZQHIYMSQ","created_at":"2026-07-05T06:20:03Z"},{"alias_kind":"pith_short_16","alias_value":"YZSVZQHIYMSQYGP3","created_at":"2026-07-05T06:20:03Z"},{"alias_kind":"pith_short_8","alias_value":"YZSVZQHI","created_at":"2026-07-05T06:20:03Z"}],"graph_snapshots":[{"event_id":"sha256:ec312492b28bfdeb25ffd3c785199a817bf54a82b1c6f4a4535bfe409450e188","target":"graph","created_at":"2026-07-05T06:20:03Z","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/2306.07408/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Although reinforcement learning (RL) is considered the gold standard for policy design, it may not always provide a robust solution in various scenarios. This can result in severe performance degradation when the environment is exposed to potential disturbances. Adversarial training using a two-player max-min game has been proven effective in enhancing the robustness of RL agents. In this work, we extend the two-player game by introducing an adversarial herd, which involves a group of adversaries, in order to address ($\\textit{i}$) the difficulty of the inner optimization problem, and ($\\texti","authors_text":"Hao-Lun Hsu, Juncheng Dong, Miroslav Pajic, Qitong Gao, Vahid Tarokh","cross_cats":["cs.AI","cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-06-12T20:21:40Z","title":"Robust Reinforcement Learning through Efficient Adversarial Herding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.07408","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":"sha256:2feb0b11d758d05e92dd1d7faf76a8bbf2fcef099224faa0e5deadfe55c84266","target":"record","created_at":"2026-07-05T06:20:03Z","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":"f0f8fff28e27a802bf41185ac13e306fdf5d5c342bf42c11589633184b55c952","cross_cats_sorted":["cs.AI","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-06-12T20:21:40Z","title_canon_sha256":"e64d6ab4ee10bfb1ad7285ef01b19f4c92e2874af34aa652b94433aa41a8729b"},"schema_version":"1.0","source":{"id":"2306.07408","kind":"arxiv","version":1}},"canonical_sha256":"c6655cc0e8c3250c19fb14eddd203225b85bc58b8442e40d72b5c50b5762422c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c6655cc0e8c3250c19fb14eddd203225b85bc58b8442e40d72b5c50b5762422c","first_computed_at":"2026-07-05T06:20:03.659914Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:20:03.659914Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KSI/8hPmC1FJDlJKzxB2nkNxb+upPll55uy478PHYTq1SetTPDD2+v6cXm1o3gIvBNmwipyLXb0kDeD5b0cdBw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:20:03.660387Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.07408","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2feb0b11d758d05e92dd1d7faf76a8bbf2fcef099224faa0e5deadfe55c84266","sha256:ec312492b28bfdeb25ffd3c785199a817bf54a82b1c6f4a4535bfe409450e188"],"state_sha256":"e18e2fc185e32c9970a41fde425c9465cacc38f1ed9edf00e3ab3b68d6c1526e"}