Pith Number

pith:RDLG6OTT

pith:2018:RDLG6OTT76EH7Y7N3K5ZTFBT6A

not attested not anchored not stored refs pending

A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning

Gang Pan, Long Yang, Minhao Shi, Qian Zheng, Wenjia Meng

arxiv:1802.03171 v1 · 2018-02-09 · cs.AI · cs.LG · stat.ML

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\usepackage{pith}
\pithnumber{RDLG6OTT76EH7Y7N3K5ZTFBT6A}

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Record completeness

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2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ 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

1 paper in Pith

Safe Reinforcement Learning using Finite-Horizon Gradient-based Estimation

Receipt and verification

First computed	2026-05-18T00:23:58.392751Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

88d66f3a73ff887fe3eddabb999433f0251c0160cc5b910b8be852e317c9994a

Aliases

arxiv: 1802.03171 · arxiv_version: 1802.03171v1 · doi: 10.48550/arxiv.1802.03171 · pith_short_12: RDLG6OTT76EH · pith_short_16: RDLG6OTT76EH7Y7N · pith_short_8: RDLG6OTT

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/RDLG6OTT76EH7Y7N3K5ZTFBT6A \
  | 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: 88d66f3a73ff887fe3eddabb999433f0251c0160cc5b910b8be852e317c9994a

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "72dc557adf4cc4384c43c07a8b30e27ddb4ff72fd3924f52781e281ddaa3821a",
    "cross_cats_sorted": [
      "cs.LG",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2018-02-09T08:46:21Z",
    "title_canon_sha256": "668c01be78064b9abb433c2165a43fe676fbbc0e9fef3ef3226294c5026e9f3b"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1802.03171",
    "kind": "arxiv",
    "version": 1
  }
}