Pushing RL Boundaries: Integrating Foundational Models, e.g.

Pushing RL Boundaries: Integrating Foundational Models, e.g. LLMs and VLMs, into Reinforcement Learning

In-Depth Exploration of Integrating Foundational Models such as LLMs and VLMs into RL Training Loop

Authors: Elahe Aghapour, Salar Rahili

Overview:

With the rise of the transformer architecture and high-throughput compute, training foundational models has turned into a hot topic recently. This has led to promising efforts to either integrate or train foundational models to enhance the capabilities of reinforcement learning (RL) algorithms, signaling an exciting …

architecture artificial intelligence compute data science deep-dives exploration foundational foundational models hot large language models llms reinforcement reinforcement learning training transformer transformer architecture vlms