pith. sign in
Pith Number

pith:2UTIPOCH

pith:2020:2UTIPOCHLKVRTNX65JYS6AIF35
not attested not anchored not stored refs pending

Maximum Reward Formulation In Reinforcement Learning

Ahmed Touati, Matthew E. Taylor, Raviteja Chunduru, Rohan Nuttall, Sahir, Sai Krishna Gottipati, Sarath Chandar, Sriram Ganapathi Subramanian, Yashaswi Pathak

arxiv:2010.03744 v2 · 2020-10-08 · cs.LG · cs.AI · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2UTIPOCHLKVRTNX65JYS6AIF35}

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.

Cited by

1 paper in Pith

Receipt and verification
First computed 2026-07-05T07:25:35.698325Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

d52687b8475aab19b6feea712f0105df56e9236588b8cf71005a46a7ab2ba1f5

Aliases

arxiv: 2010.03744 · arxiv_version: 2010.03744v2 · doi: 10.48550/arxiv.2010.03744 · pith_short_12: 2UTIPOCHLKVR · pith_short_16: 2UTIPOCHLKVRTNX6 · pith_short_8: 2UTIPOCH
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2UTIPOCHLKVRTNX65JYS6AIF35 \
  | 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: d52687b8475aab19b6feea712f0105df56e9236588b8cf71005a46a7ab2ba1f5
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "c5bfb1760ee3ec0cf3d534f54e12ac4716c994913eb9f0359818641fe711f4c3",
    "cross_cats_sorted": [
      "cs.AI",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2020-10-08T03:07:31Z",
    "title_canon_sha256": "a07db5f75dcf72919048bd7baae63afb697ef2165abc138074b042ed8277d707"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2010.03744",
    "kind": "arxiv",
    "version": 2
  }
}