most citedCode as Reward: Empowering Reinforcement Learning with VLMs

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2025

Langevin Soft Actor-Critic: Efficient Exploration through Uncertainty-Driven Critic Learning

Haque Ishfaq, Guangyuan Wang, Sami Nur Islam +1

Existing actor-critic algorithms, which are popular for continuous control reinforcement learning (RL) tasks, suffer from poor sample efficiency due to lack of principled explorati…

cs.LG2024★ 1 cited

Code as Reward: Empowering Reinforcement Learning with VLMs

David Venuto, Sami Nur Islam, Martin Klissarov +3

Pre-trained Vision-Language Models (VLMs) are able to understand visual concepts, describe and decompose complex tasks into sub-tasks, and provide feedback on task completion. In t…