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: This paper proposes an end-to-end autonomous navigation algorithm for unknown environments based on deep reinforcement learning (DRL), which maps the lidar data collected by the robot into ...
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