2025
ExploRLLM: Guiding Exploration in Reinforcement Learning with Large Language Models
ICRA 2025
In robot manipulation, Reinforcement Learning (RL) often suffers from low sample efficiency and uncertain convergence, especially in large observation and action spaces. Foundation Models (FMs) offer an alternative, demonstrating promise in zero-shot and few-shot settings. However, they can be unrel