RULER (Relative Universal LLM-Elicited Rewards) eliminates the need for hand-crafted reward functions by using an LLM-as-judge to automatically score agent trajectories. Simply define your task in the ...
Abstract: For a long time, tree information management has always been at the level of extensive management. Landscaping information mostly uses traditional paper data management, which is mutually ...
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