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Zhejiang University
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Unlocking GNN interpretability on massive graphs is now possible with a declarative, interactive system that allows precise layer-wise explanation querying.
By pretraining a VLA model with goal-conditioned RL, PRTS learns to reason about goal reachability, leading to substantial gains in long-horizon robotic tasks and zero-shot generalization.