Study finds AI agents lock in training strategies early, hindering recursive self-improvement
omarsar0 · x · 2026-08-23
A paper on recursive self-improvement (RSI) analyzes post-training trajectories and finds that agents tend to lock in their training strategy at the very first step. They spend the remaining budget on local adjustments within that strategy, getting stuck in a local optimum rather than exploring better approaches.
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