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Lifelong navigation agents collapse when environments change over time, exposing a critical blind spot in how embodied models cache and reuse prior spatial memories.
Shared reasoning structures can significantly boost performance in continual reinforcement learning, with a novel replay mechanism achieving parity with multitask training.
