Pith Number

pith:D5DRTDVJ

pith:2019:D5DRTDVJ4FQI3WZ5GF7TE3VWZM

not attested not anchored not stored refs pending

AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers

Ajay Mandlekar, Andrey Kurenkov, Animesh Garg, Roberto Martin-Martin, Silvio Savarese

arxiv:1909.04121 v3 · 2019-09-09 · cs.LG · cs.AI · stat.ML

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\usepackage{pith}
\pithnumber{D5DRTDVJ4FQI3WZ5GF7TE3VWZM}

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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.

Cited by

1 paper in Pith

Uncertainty-Aware and Temporally Regulated Expert Advice in Reinforcement Learning for Autonomous Driving

Receipt and verification

First computed	2026-07-05T00:26:10.123329Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

1f47198ea9e1608ddb3d317f326eb6cb20e9dc2c5478a10d90f9012851e6ae56

Aliases

arxiv: 1909.04121 · arxiv_version: 1909.04121v3 · doi: 10.48550/arxiv.1909.04121 · pith_short_12: D5DRTDVJ4FQI · pith_short_16: D5DRTDVJ4FQI3WZ5 · pith_short_8: D5DRTDVJ

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/D5DRTDVJ4FQI3WZ5GF7TE3VWZM \
  | 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: 1f47198ea9e1608ddb3d317f326eb6cb20e9dc2c5478a10d90f9012851e6ae56

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "74a3da7feb8d959b0dd234e809a9bf819c5614edccefa5ed30ad6da1cd9fd547",
    "cross_cats_sorted": [
      "cs.AI",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2019-09-09T19:38:25Z",
    "title_canon_sha256": "82ef4a75c4da58dfe90aab947f68c909dca5312d36675be8d5f9b3a3a55ba16e"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1909.04121",
    "kind": "arxiv",
    "version": 3
  }
}