Pith. sign in
Pith Number

pith:2QMYX45V

pith:2025:2QMYX45VRW4D65CZBCNY4MGTVB
not attested not anchored not stored refs pending

Ensemble Elastic DQN: A novel multi-step ensemble approach to address overestimation in deep value-based reinforcement learning

Adrian Ly, Francisco Cruz, Peter Vamplew, Richard Dazeley, Sunil Aryal

arxiv:2506.05716 v1 · 2025-06-06 · cs.LG · cs.AI

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2QMYX45VRW4D65CZBCNY4MGTVB}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

Record completeness

1 Bitcoin timestamp
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.
Receipt and verification
First computed 2026-07-05T11:17:08.575470Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

d4198bf3b58db83f7459089b8e30d3a8632ad9b85c31ef8dcc5ccb22fdb9050e

Aliases

arxiv: 2506.05716 · arxiv_version: 2506.05716v1 · doi: 10.48550/arxiv.2506.05716 · pith_short_12: 2QMYX45VRW4D · pith_short_16: 2QMYX45VRW4D65CZ · pith_short_8: 2QMYX45V
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2QMYX45VRW4D65CZBCNY4MGTVB \
  | 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: d4198bf3b58db83f7459089b8e30d3a8632ad9b85c31ef8dcc5ccb22fdb9050e
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "6b85f4fbd6280db4949ad75323a57c10c52aecdf4e346ee4a33d1d323f37d818",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2025-06-06T03:36:19Z",
    "title_canon_sha256": "2d83a3f21b116ce0728a918ab082a9257ec79c94676da0ca88de0c34326bde0d"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2506.05716",
    "kind": "arxiv",
    "version": 1
  }
}