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DAPGNet outperforms traditional HSI classifiers by leveraging a physics-guided approach to enhance pixel-relation modeling, achieving up to 7.31 percentage points improvement in accuracy.
Fine-grained decision-making in agentic RL can boost performance by nearly 4 points, challenging the reliance on coarse heuristics.
