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LLM agents are stuck in local adjustment loops, unable to adapt their training strategies despite having the resources to do so.
One neural network can now rapidly estimate optimal fuel consumption and transfer time for low-thrust trajectories across diverse orbital environments, thanks to a novel self-similar transformation.
