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 ...