{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:AOG3T77FGVVQCMRFHOCO3GQ6N5","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":"dd887a1737749b08f7967c6b98f089b16009d8abf5cc7d1d377c4826d89c4eb7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-05-29T03:25:22Z","title_canon_sha256":"7b0c80249f63b7f85d5a71d391674b2c0776953d2a0f300915b31bc834f8e996"},"schema_version":"1.0","source":{"id":"2305.18443","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.18443","created_at":"2026-07-05T06:15:00Z"},{"alias_kind":"arxiv_version","alias_value":"2305.18443v1","created_at":"2026-07-05T06:15:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.18443","created_at":"2026-07-05T06:15:00Z"},{"alias_kind":"pith_short_12","alias_value":"AOG3T77FGVVQ","created_at":"2026-07-05T06:15:00Z"},{"alias_kind":"pith_short_16","alias_value":"AOG3T77FGVVQCMRF","created_at":"2026-07-05T06:15:00Z"},{"alias_kind":"pith_short_8","alias_value":"AOG3T77F","created_at":"2026-07-05T06:15:00Z"}],"graph_snapshots":[{"event_id":"sha256:84c4f6bebd06aa6256e369d6cfe13020108440be02eaba0a4d373e200e684764","target":"graph","created_at":"2026-07-05T06:15:00Z","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/2305.18443/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Sample efficiency is one of the most critical issues for online reinforcement learning (RL). Existing methods achieve higher sample efficiency by adopting model-based methods, Q-ensemble, or better exploration mechanisms. We, instead, propose to train an off-policy RL agent via updating on a fixed sampled batch multiple times, thus reusing these samples and better exploiting them within a single optimization loop. We name our method sample multiple reuse (SMR). We theoretically show the properties of Q-learning with SMR, e.g., convergence. Furthermore, we incorporate SMR with off-the-shelf off","authors_text":"Jiafei Lyu, Le Wan, Xiu Li, Zongqing Lu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-05-29T03:25:22Z","title":"Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.18443","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:bfd1a19ba3f995b6c2eee3e4dbb55ad7646f326b83f55a085903704bc9123c6c","target":"record","created_at":"2026-07-05T06:15:00Z","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":"dd887a1737749b08f7967c6b98f089b16009d8abf5cc7d1d377c4826d89c4eb7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-05-29T03:25:22Z","title_canon_sha256":"7b0c80249f63b7f85d5a71d391674b2c0776953d2a0f300915b31bc834f8e996"},"schema_version":"1.0","source":{"id":"2305.18443","kind":"arxiv","version":1}},"canonical_sha256":"038db9ffe5356b0132253b84ed9a1e6f41819b8b25211161f9ca876247e5b65b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"038db9ffe5356b0132253b84ed9a1e6f41819b8b25211161f9ca876247e5b65b","first_computed_at":"2026-07-05T06:15:00.980884Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:15:00.980884Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5SQFrGWX8PsYmA+G4gfFwHc5t9sA58KII2dgSOUWQ3y+AgvJaSIZZZcvNbZGFx6HeFlg72t2XZMCSmOyNB3TBw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:15:00.981307Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.18443","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bfd1a19ba3f995b6c2eee3e4dbb55ad7646f326b83f55a085903704bc9123c6c","sha256:84c4f6bebd06aa6256e369d6cfe13020108440be02eaba0a4d373e200e684764"],"state_sha256":"7ae79661d785a3c2af16daa7f7bdbf70b936eb1af15d86ad2e94425d7d231ff0"}