Pith Number
pith:M3ARRVNQ
pith:2023:M3ARRVNQ25JGFS6272T3UBADO6
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Optimal Sample Complexity of Reinforcement Learning for Mixing Discounted Markov Decision Processes
arxiv:2302.07477 v3 · 2023-02-15 · cs.LG · math.OC · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{M3ARRVNQ25JGFS6272T3UBADO6}
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Record completeness
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Bitcoin timestamp
2
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4
Citations
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Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Cited by
Receipt and verification
| First computed | 2026-07-05T06:55:52.203559Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
66c118d5b0d75262cbdafea7ba040377b642932e65c2a0790a0c953896e90ea0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/M3ARRVNQ25JGFS6272T3UBADO6 \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 66c118d5b0d75262cbdafea7ba040377b642932e65c2a0790a0c953896e90ea0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3adb1cd3f99964e42788ecb83fec2559bd686d20b7833a441a0155ec2ca03642",
"cross_cats_sorted": [
"math.OC",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-02-15T05:43:17Z",
"title_canon_sha256": "7c1672f6b93c8e05eea80fde89c4cea76ed28c91bef67e9060b4a069b7852903"
},
"schema_version": "1.0",
"source": {
"id": "2302.07477",
"kind": "arxiv",
"version": 3
}
}