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SALT: When More Rollouts Don’t Help in Group-Based Policy Optimization and How to Make Them Matter
Increasing rollouts fails in group-based RL because normalized gradients cancel; SALT adaptively reweights updates via subspace decomposition to recover effective learning.
Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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AI panel: 12 of 20 reviewers recommend it
lenient 2/5
medium 9/10
strict 1/5