Search papers, labs, and topics across Lattice.
Y:[y_{0}-y_{1}]italic_Y : [ italic_y start_POSTSUBSCRIPT 0 end_POSTSUBSCRIPT - italic_y start_POSTSUBSCRIPT 1 end_POSTSUBSCRIPT ] with the top corner of the map being (0,0). This is your minimap view: [ASCII ENCODED MINIMAP] Each cell is represented by a character corresponding to the type of terrain: 0: brush (no trees) 1: light forest (1 tree) 2: medium forest (2 trees) 3: dense forest (3 trees) i: Ignited f: On Fire e: Extinguishing x: Fully Extinguished w: Water Source Cell (no trees) B: building (no trees) IGNORE ALL “-”. Those are unrevealed cells. They will reveal themselves when you get closer to them. The cells in single quotations are wet cells. ’C’ cells are civilians. The bolded cell is the current cell you are in. It is a X cell at POSITION. There are other nearby agents at: [OTHER AGENT LOCATIONS] Your job is to process and understand your surroundings. Do not directly report explicit information from the minimap, but rather spatially understand your surroundings. Do not refer to character representations of the minimap, only what they actually represent. Report general observations in general directions. Also report if there are specific cells of interest, such as fires, civilians, water, etc. If there are any, calculate their exact locations by explicitly counting cells. You should return a detailed but concise text summary paragraph of all relevant information, including location, surroundings, and presence of important cells. A.2 Translator Prompts Prompt for Translator
1
5
2
4
Current LLM-based multi-agent systems struggle with large-scale coordination and long-horizon planning under uncertainty, as revealed by the new CREW-Wildfire benchmark.