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cs.LG2025★ 1 cited
Teaching RL Agents to Act Better: VLM as Action Advisor for Online Reinforcement Learning
Xiefeng Wu, Jing Zhao, Shu Zhang +1
Online reinforcement learning in complex tasks is time-consuming, as massive interaction steps are needed to learn the optimal Q-function.Vision-language action (VLA) policies repr…
cs.LG2024
Enhancing Q-Learning with Large Language Model Heuristics
Xiefeng Wu
Q-learning excels in learning from feedback within sequential decision-making tasks but often requires extensive sampling to achieve significant improvements. While reward shaping…