Pith Number

pith:UWEEBRSO

pith:2023:UWEEBRSO4RGUZWC3TCK7WUNIQI

not attested not anchored not stored refs pending

Counting Reward Automata: Sample Efficient Reinforcement Learning Through the Exploitation of Reward Function Structure

Benjamin Rosman, Geraud Nangue Tasse, Steven James, Tristan Bester

arxiv:2312.11364 v2 · 2023-12-18 · cs.AI

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\usepackage{pith}
\pithnumber{UWEEBRSO4RGUZWC3TCK7WUNIQI}

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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

Reward Structure Shapes the Interaction Between Episodic Exploration and Neural Memory in Reinforcement Learning

Receipt and verification

First computed	2026-07-05T07:46:28.959568Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

a58840c64ee44d4cd85b9895fb51a882220f627275062ad33e29f6aafa6a65ae

Aliases

arxiv: 2312.11364 · arxiv_version: 2312.11364v2 · doi: 10.48550/arxiv.2312.11364 · pith_short_12: UWEEBRSO4RGU · pith_short_16: UWEEBRSO4RGUZWC3 · pith_short_8: UWEEBRSO

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/UWEEBRSO4RGUZWC3TCK7WUNIQI \
  | 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: a58840c64ee44d4cd85b9895fb51a882220f627275062ad33e29f6aafa6a65ae

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "d6989e80e45e67b1f080585e65f73dd94ffcdf65776a1a03b0d5c2fc9b7f8d5e",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2023-12-18T17:20:38Z",
    "title_canon_sha256": "7482a95d62c1afe0cb924a27560017f2ccb152c418ea5e6d11845e2cef63130a"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2312.11364",
    "kind": "arxiv",
    "version": 2
  }
}