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: In this work, the trajectory-tracking control of the fully-actuated autonomous underwater vehicle (AUV) with unknown disturbances is formulated as a two-player zero-sum game. One player is ...
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