pith:TFE67VM3
R2R2: Robust Representation for Intensive Experience Reuse via Redundancy Reduction in Self-Predictive Learning
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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Claims
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.
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.
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.
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Formal links
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
· · · · ·Agent API
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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