Teams continue to burn through tens of thousands of tokens and agent calls as they refine exploration loops — and much of that spend, Google researchers argue, goes to paths that previously failed. Their answer is to let agents “dream” their way through those loops instead, learning from earlier attempts to guide future searches. They call it Dream-RSI, and in their tests it needed up to 162x fewer discovery-agent calls than SimpleTES, an existing discovery system.
Google's Dream-RSI cuts discovery-agent calls up to 162x by replaying searches it already ran
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September 17, 2026
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taryn.plumb@venturebeat.com (Taryn Plumb)
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venturebeat