SAC

1 statements across 1 episodes · 1 bullish · 0 bearish · 1 people on the record · first statement Dec 31, 2025 by Benjamin Eysenbach · said 1 times in 1 episodes since 2025 · across every show →

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Dec 31, 2025 positive
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Eysenbach: 1,000-layer RL requires reward-free objectives, not just architectural tricks
“I think the main conclusion is that using big networks not only requires these architectural tricks, but also, as Kevin mentioned before, it requires using a different objective. This objective doesn't actually use rewards in it, and so there's another word in…”
Benjamin Eysenbach Dec 31, 2025 ▶ 8:08 [NeurIPS Best Paper] 1000 Layer Networks for Self-Supervised RL — Kevin Wang et al, Princeton
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