{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:PGGMDDOCG5ND2B4YCCLRYUVFRA","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":"8ce46e08d25effcc4e14c7fafb358b8575e2ca420b5cf74751630815c79688ae","cross_cats_sorted":["cs.AI","cs.LG","cs.MA"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2022-04-07T15:34:19Z","title_canon_sha256":"5127b61d56eb53342c99cfaf69c131a67b419feeb26abcd987cda31cc0a5d4a7"},"schema_version":"1.0","source":{"id":"2204.03516","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.03516","created_at":"2026-07-05T04:12:31Z"},{"alias_kind":"arxiv_version","alias_value":"2204.03516v1","created_at":"2026-07-05T04:12:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.03516","created_at":"2026-07-05T04:12:31Z"},{"alias_kind":"pith_short_12","alias_value":"PGGMDDOCG5ND","created_at":"2026-07-05T04:12:31Z"},{"alias_kind":"pith_short_16","alias_value":"PGGMDDOCG5ND2B4Y","created_at":"2026-07-05T04:12:31Z"},{"alias_kind":"pith_short_8","alias_value":"PGGMDDOC","created_at":"2026-07-05T04:12:31Z"}],"graph_snapshots":[{"event_id":"sha256:eda18675fd3127fd1c42bc8b2bd3fb6bb01121299290acf00c32c4b1d17a5081","target":"graph","created_at":"2026-07-05T04:12:31Z","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/2204.03516/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Purpose of review: Recent advances in sensing, actuation, and computation have opened the door to multi-robot systems consisting of hundreds/thousands of robots, with promising applications to automated manufacturing, disaster relief, harvesting, last-mile delivery, port/airport operations, or search and rescue. The community has leveraged model-free multi-agent reinforcement learning (MARL) to devise efficient, scalable controllers for multi-robot systems (MRS). This review aims to provide an analysis of the state-of-the-art in distributed MARL for multi-robot cooperation.\n  Recent findings: ","authors_text":"Guillaume Sartoretti, Mehul Damani, Pamela Wang, Yuhong Cao, Yutong Wang","cross_cats":["cs.AI","cs.LG","cs.MA"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2022-04-07T15:34:19Z","title":"Distributed Reinforcement Learning for Robot Teams: A Review"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.03516","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":"sha256:5e795cc2fb7db091cec50433f63a7aa16966eb95a92960c3e4797a79e45c0b3c","target":"record","created_at":"2026-07-05T04:12:31Z","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":"8ce46e08d25effcc4e14c7fafb358b8575e2ca420b5cf74751630815c79688ae","cross_cats_sorted":["cs.AI","cs.LG","cs.MA"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2022-04-07T15:34:19Z","title_canon_sha256":"5127b61d56eb53342c99cfaf69c131a67b419feeb26abcd987cda31cc0a5d4a7"},"schema_version":"1.0","source":{"id":"2204.03516","kind":"arxiv","version":1}},"canonical_sha256":"798cc18dc2375a3d079810971c52a5880639254310354025b6cd6e79237aea4b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"798cc18dc2375a3d079810971c52a5880639254310354025b6cd6e79237aea4b","first_computed_at":"2026-07-05T04:12:31.112698Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:12:31.112698Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HWV4lAO6jISSdnAfw8WagSNlg9JBEZT/NDfNJli8n/mqYdRhnALrEWt3YffW7ZRd7aXybcAPsDsniPx+DlNBDw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:12:31.113142Z","signed_message":"canonical_sha256_bytes"},"source_id":"2204.03516","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5e795cc2fb7db091cec50433f63a7aa16966eb95a92960c3e4797a79e45c0b3c","sha256:eda18675fd3127fd1c42bc8b2bd3fb6bb01121299290acf00c32c4b1d17a5081"],"state_sha256":"503940f15541f16b52036852e9b0da4e09c77cca37425fc98ccd65322671c862"}