Dream-RSI lets AI agents level up by dreaming
Researchers just introduced Dream-RSI, a framework that helps AI agents recursively improve their exploration strategies without altering the base model. By turning past search trees into an offline simulator, agents can basically "dream" through counterfactual scenarios to refine decision-making at a fraction of the usual compute cost.