{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:ICE2BBPNW6ENFUMR7FS3HRZOCY","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":"fe79e7b58d59b285d76de49cbbf36c5e43324c93e77d311a089a08ece0efd213","cross_cats_sorted":["cs.LG","cs.MA"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2019-08-07T19:25:37Z","title_canon_sha256":"b8d2a7ca2f4f9f6b5319b31c8d5dfd2a0cbe27cb421b9dfd96419fbc60d0edd6"},"schema_version":"1.0","source":{"id":"1908.02805","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.02805","created_at":"2026-07-05T03:29:12Z"},{"alias_kind":"arxiv_version","alias_value":"1908.02805v4","created_at":"2026-07-05T03:29:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.02805","created_at":"2026-07-05T03:29:12Z"},{"alias_kind":"pith_short_12","alias_value":"ICE2BBPNW6EN","created_at":"2026-07-05T03:29:12Z"},{"alias_kind":"pith_short_16","alias_value":"ICE2BBPNW6ENFUMR","created_at":"2026-07-05T03:29:12Z"},{"alias_kind":"pith_short_8","alias_value":"ICE2BBPN","created_at":"2026-07-05T03:29:12Z"}],"graph_snapshots":[{"event_id":"sha256:5f917083ad8f8eb30c8c65ddec62364394b7e81177c49c9111dd948cd753ac0d","target":"graph","created_at":"2026-07-05T03:29:12Z","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/1908.02805/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We study the policy evaluation problem in multi-agent reinforcement learning where a group of agents, with jointly observed states and private local actions and rewards, collaborate to learn the value function of a given policy via local computation and communication over a connected undirected network. This problem arises in various large-scale multi-agent systems, including power grids, intelligent transportation systems, wireless sensor networks, and multi-agent robotics. When the dimension of state-action space is large, the temporal-difference learning with linear function approximation i","authors_text":"Dongsheng Ding, Mihailo R. Jovanovi\\'c, Xiaohan Wei, Zhaoran Wang, Zhuoran Yang","cross_cats":["cs.LG","cs.MA"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2019-08-07T19:25:37Z","title":"Fast Multi-Agent Temporal-Difference Learning via Homotopy Stochastic Primal-Dual Optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.02805","kind":"arxiv","version":4},"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":"sha256:8daab5885107d288ab90d7e7e8b87c72fb4fbd47ee7ccd12f55e4a661c08fd38","target":"record","created_at":"2026-07-05T03:29:12Z","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":"fe79e7b58d59b285d76de49cbbf36c5e43324c93e77d311a089a08ece0efd213","cross_cats_sorted":["cs.LG","cs.MA"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2019-08-07T19:25:37Z","title_canon_sha256":"b8d2a7ca2f4f9f6b5319b31c8d5dfd2a0cbe27cb421b9dfd96419fbc60d0edd6"},"schema_version":"1.0","source":{"id":"1908.02805","kind":"arxiv","version":4}},"canonical_sha256":"4089a085edb788d2d191f965b3c72e1610b5ed96a55c86a3699de3e944217969","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4089a085edb788d2d191f965b3c72e1610b5ed96a55c86a3699de3e944217969","first_computed_at":"2026-07-05T03:29:12.817791Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:29:12.817791Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oH54tNjzulRXAnyiSX8XNAXOKCQonSr6A5taU07lbq02f8S1HeXx/BG9r52HE6uWDoPL+EFAMneyXxOLfxukDw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:29:12.818215Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.02805","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8daab5885107d288ab90d7e7e8b87c72fb4fbd47ee7ccd12f55e4a661c08fd38","sha256:5f917083ad8f8eb30c8c65ddec62364394b7e81177c49c9111dd948cd753ac0d"],"state_sha256":"cc7537807d23e35bfb98733dbab81f3f3d3bdb54946c8221be2012410b34c09b"}