Pith Number

pith:DTUPU4YP

pith:2026:DTUPU4YPWBVOSXHAUETU2SFEGN

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When Does Non-Uniform Replay Matter in Reinforcement Learning?

Michal Korniak, Michal Nauman, Miko{\l}aj Czarnecki, Pieter Abbeel, Piotr Mi{\l}o\'s, Yarden As

Non-uniform replay improves reinforcement learning sample efficiency mainly when replay volume is low, provided sampling entropy stays high.

arxiv:2605.10236 v3 · 2026-05-11 · cs.LG · cs.AI

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\usepackage{pith}
\pithnumber{DTUPU4YPWBVOSXHAUETU2SFEGN}

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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.

Claims

C1strongest claim

the effectiveness of non-uniform replay is governed by three factors: replay volume, the number of replayed transitions per environment step; expected recency, how recent sampled transitions are; and the entropy of the replay sampling distribution. ... non-uniform replay is most beneficial when replay volume is low, and that high-entropy sampling is important even at comparable expected recency.

C2weakest assumption

That the three identified factors comprehensively govern non-uniform replay effectiveness and that the observed benefits will generalize beyond the specific algorithms, benchmarks, and parallel-simulation regimes tested.

C3one line summary

Non-uniform replay improves RL sample efficiency mainly in low replay-volume regimes, with high-entropy sampling being key even at comparable recency.

Receipt and verification

First computed	2026-05-20T00:04:35.665186Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

1ce8fa730fb06ae95ce0a1274d48a43342064e3026b1f2dac2fc69a8a17b28f2

Aliases

arxiv: 2605.10236 · arxiv_version: 2605.10236v3 · doi: 10.48550/arxiv.2605.10236 · pith_short_12: DTUPU4YPWBVO · pith_short_16: DTUPU4YPWBVOSXHA · pith_short_8: DTUPU4YP

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/DTUPU4YPWBVOSXHAUETU2SFEGN \
  | 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: 1ce8fa730fb06ae95ce0a1274d48a43342064e3026b1f2dac2fc69a8a17b28f2

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "620bf1ffe50dbaacaa7a9d4a62ea8c89e696204990ecc4b3b8aa6e570113787f",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-05-11T09:11:05Z",
    "title_canon_sha256": "c552ff302da0820dc38cc0a64a17100907ea6d70298f50f5faaf1c656cedb6a3"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.10236",
    "kind": "arxiv",
    "version": 3
  }
}