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SJRL not only overcomes collision challenges in multi-agent navigation but also adapts dynamically to real-world constraints, outperforming traditional methods in complex environments.
Explicit semantic augmentation can boost LLM-based code translation success rates by over 200%, especially for smaller models.
Stop guessing about AGV fleet management: LSMART offers a realistic, open-source simulator to benchmark MAPF algorithms in complex, lifelong scenarios, revealing the critical design choices that make or break performance.