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pith:2026:TFE67VM32IMOJC2JF3LBMDWZR7
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R2R2: Robust Representation for Intensive Experience Reuse via Redundancy Reduction in Self-Predictive Learning

Donghyeok Lee, Jinsik Kim, Sanghyeob Song, Sungroh Yoon

A non-centered objective in self-predictive learning resolves zero-centering conflicts to stabilize representations under intensive experience reuse.

arxiv:2605.14026 v1 · 2026-05-13 · cs.LG · cs.AI

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3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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Claims

C1strongest claim

At a UTD ratio of 20, R2R2 improves TD7 by ~22% and provides additional gains on top of SimbaV2-SPL, which itself establishes a new state-of-the-art.

C2weakest assumption

That the identified conflict between standard zero-centering and SPL spectral properties is the primary driver of representation instability, and that the proposed non-centered objective directly causes the observed performance gains rather than other unstated experimental factors.

C3one line summary

R2R2 introduces a non-centered regularization objective for SPL that addresses conflicts with spectral properties, leading to better performance on continuous control tasks at high UTD ratios.

References

42 extracted · 42 resolved · 5 Pith anchors

[1] Lillicrap and Jonathan J 2016
[2] 9th International Conference on Learning Representations, 2021
[3] Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor , booktitle = 2018
[4] Soft Actor-Critic Algorithms and Applications 2018 · arXiv:1812.05905
[5] Forty-second International Conference on Machine Learning, 2025

Formal links

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Receipt and verification
First computed 2026-05-17T23:39:12.892050Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

9949efd59bd218e48b492ed6160ed98fd96894e604f503eaf748c8584a1bbea3

Aliases

arxiv: 2605.14026 · arxiv_version: 2605.14026v1 · doi: 10.48550/arxiv.2605.14026 · pith_short_12: TFE67VM32IMO · pith_short_16: TFE67VM32IMOJC2J · pith_short_8: TFE67VM3
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TFE67VM32IMOJC2JF3LBMDWZR7 \
  | 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: 9949efd59bd218e48b492ed6160ed98fd96894e604f503eaf748c8584a1bbea3
Canonical record JSON
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    "primary_cat": "cs.LG",
    "submitted_at": "2026-05-13T18:38:32Z",
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