Google's Dream-RSI lets agents dream over past search trees, cutting agent calls up to 162x
量子位 · wechat · 2026-09-17
Google researchers' Dream-RSI treats an agent's past exploration logs as a simulator: an LLM devises new exploration strategies and evaluates them by replaying the discovery tree instead of re-running experiments. Across 8 tasks in algorithm engineering, math optimization and GPU kernels it matches or beats prior discovery systems with up to 162x fewer agent calls; explicitly summarizing lessons into prompts surprisingly hurts performance. Code and paper are public.
Related event: Google DeepMind's Dream-RSI: Recursive Self-Improvement Without Retraining(15 posts)→
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