Description

Dream-RSI is a framework for recursive self-improvement where an AI agent learns from its own history of previous problem-solving searches. It creates a 'discovery tree' map of its actions and then 'dreams' or re-simulates alternative pathways to find improved search strategies without retraining the underlying model.

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