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 brief, we propose a novel real-time numerical algorithm for solving nonlinear model predictive control (NMPC) with convex-concave constraints, which arise in various practical ...
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