Dream-RSI: A Framework for Scalable Recursive Self-Improvement in AI Exploration

Dream-RSI presents a framework for scalable recursive self-improvement in AI exploration by using historical discovery data as a replay simulator to reduce discovery costs. The approach enables continuous policy refinement through offline dreaming while maintaining online deployment for further discovery.

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