Pith Number

pith:PBCCOPAW

pith:2026:PBCCOPAWRYZSAK5LKT5OF6ADIK

not attested not anchored not stored refs pending

Gradient Iterated Temporal-Difference Learning

Adam White, Carlo D'Eramo, Habib Maraqten, Jan Peters, Kevin Gerhardt, Martha White, Th\'eo Vincent, Yogesh Tripathi

Gradient Iterated Temporal-Difference learning takes full gradients through moving targets to match semi-gradient speeds on Atari and other benchmarks.

arxiv:2603.07833 v2 · 2026-03-08 · cs.LG · cs.AI

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{PBCCOPAWRYZSAK5LKT5OF6ADIK}

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.

Claims

C1strongest claim

Our evaluation reveals that this algorithm, called Gradient Iterated Temporal-Difference learning, has a competitive learning speed against semi-gradient methods across various benchmarks, including Atari games, a result that no prior work on gradient TD methods has demonstrated.

C2weakest assumption

That computing gradients through the sequence of moving targets in iterated TD will not introduce new instabilities or require prohibitive extra computation that negates the speed gains.

C3one line summary

Gradient Iterated TD learning stabilizes iterated TD by computing gradients over moving targets and achieves competitive speed to semi-gradient methods on Atari games and other benchmarks.

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-17T23:38:59.721803Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

7844273c168e33202bab54fae2f80342b2a19f4e770f4ac12d3443bd35f28ab3

Aliases

arxiv: 2603.07833 · arxiv_version: 2603.07833v2 · doi: 10.48550/arxiv.2603.07833 · pith_short_12: PBCCOPAWRYZS · pith_short_16: PBCCOPAWRYZSAK5L · pith_short_8: PBCCOPAW

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/PBCCOPAWRYZSAK5LKT5OF6ADIK \
  | 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: 7844273c168e33202bab54fae2f80342b2a19f4e770f4ac12d3443bd35f28ab3

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "0ca02a3b61d2a42b6a813a19748660ebb62740cc78a6b57920cdd07b02ac0ab8",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-03-08T22:32:15Z",
    "title_canon_sha256": "58cb096c3b848f4b6416f53316d28dfb6a73f1bbe740f237ca51e916c82e9bc5"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2603.07833",
    "kind": "arxiv",
    "version": 2
  }
}