MARVL: Multi-Stage Guidance for Robotic Manipulation via Vision-Language Models

Xunlan Zhou, Xuanlin Chen, Shaowei Zhang +4

Designing dense reward functions is pivotal for efficient robotic Reinforcement Learning (RL). However, most dense rewards rely on manual engineering, which fundamentally limits th…