{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:XGTZEEKVNTQNKRJF5PSPDA33X3","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":"fd09e054e0cc83fd12e2483701ea6d877bf8263cb9e637c91b7f1525a990e939","cross_cats_sorted":["math.OC","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2014-03-25T23:00:50Z","title_canon_sha256":"6570276323de258861d8b17ec064662225a2656ee88a2ba6739aa59a8a384385"},"schema_version":"1.0","source":{"id":"1403.6530","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1403.6530","created_at":"2026-05-18T02:21:51Z"},{"alias_kind":"arxiv_version","alias_value":"1403.6530v2","created_at":"2026-05-18T02:21:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1403.6530","created_at":"2026-05-18T02:21:51Z"},{"alias_kind":"pith_short_12","alias_value":"XGTZEEKVNTQN","created_at":"2026-05-18T12:28:57Z"},{"alias_kind":"pith_short_16","alias_value":"XGTZEEKVNTQNKRJF","created_at":"2026-05-18T12:28:57Z"},{"alias_kind":"pith_short_8","alias_value":"XGTZEEKV","created_at":"2026-05-18T12:28:57Z"}],"graph_snapshots":[{"event_id":"sha256:b1fc266d18c59cbb36e14a2db96e68f6dcc24943d243339b403d2f833d7e5930","target":"graph","created_at":"2026-05-18T02:21:51Z","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":"In many sequential decision-making problems we may want to manage risk by minimizing some measure of variability in rewards in addition to maximizing a standard criterion. Variance related risk measures are among the most common risk-sensitive criteria in finance and operations research. However, optimizing many such criteria is known to be a hard problem. In this paper, we consider both discounted and average reward Markov decision processes. For each formulation, we first define a measure of variability for a policy, which in turn gives us a set of risk-sensitive criteria to optimize. For ea","authors_text":"Mohammad Ghavamzadeh, Prashanth L.A.","cross_cats":["math.OC","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2014-03-25T23:00:50Z","title":"Variance-Constrained Actor-Critic Algorithms for Discounted and Average Reward MDPs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1403.6530","kind":"arxiv","version":2},"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":"sha256:8c739d95688473c4f4cd8fea95dd9ba50800ff8d292eb594619c85ded552f515","target":"record","created_at":"2026-05-18T02:21:51Z","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":"fd09e054e0cc83fd12e2483701ea6d877bf8263cb9e637c91b7f1525a990e939","cross_cats_sorted":["math.OC","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2014-03-25T23:00:50Z","title_canon_sha256":"6570276323de258861d8b17ec064662225a2656ee88a2ba6739aa59a8a384385"},"schema_version":"1.0","source":{"id":"1403.6530","kind":"arxiv","version":2}},"canonical_sha256":"b9a79211556ce0d54525ebe4f1837bbed064581e3578ea2d56b7482c220a8c7d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b9a79211556ce0d54525ebe4f1837bbed064581e3578ea2d56b7482c220a8c7d","first_computed_at":"2026-05-18T02:21:51.907418Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:21:51.907418Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KXc/Bot7CfPvNKJUfJWM1c+RLflyLs8GKUpxn7XzdsZrIpbF+oytPyv2saAvs1ALW5Ca4lazylCaHNdMdgfUDg==","signature_status":"signed_v1","signed_at":"2026-05-18T02:21:51.907974Z","signed_message":"canonical_sha256_bytes"},"source_id":"1403.6530","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8c739d95688473c4f4cd8fea95dd9ba50800ff8d292eb594619c85ded552f515","sha256:b1fc266d18c59cbb36e14a2db96e68f6dcc24943d243339b403d2f833d7e5930"],"state_sha256":"5ce02dd5e3f5eef7be2e081416daa817285510a432c7aadf62d0f4a68fe0891c"}