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HypEMBER achieves superior robustness in policy learning, outperforming traditional RL methods even in the face of significant measurement noise and parameter uncertainties.
Agents that leverage localized sensory cues can outperform those relying on global flow information, revealing a surprising trade-off in navigation strategies.