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Memory & Planning Excel in Dynamic Navigation

Memory & Planning Excel in Dynamic Navigation

This arXiv paper explores memory strategies for spatial navigation in non-stationary environments with uncertain sensing in a foraging task. It compares simple to sophisticated agents, finding hybrid architectures with episodic memories and on-the-fly planning most efficient for exploration, search, and path optimization. Advanced agents substantially outperform minimal-memory ones as task difficulty increases, provided uncertainty is manageable.