Deep Reinforcement Learning with Python: RLHF for Chatbots and Large Language Models

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2024

N. SanghiDeep Reinforcement Learning with Pythonhttps://doi.org/10.1007/979-8-8688-0273-7_12

12. Multi-Agent RL (MARL)

Nimish Sanghi¹  

(1)

Bangalore, India

 

The book so far has covered most of the popular RL approaches, including the state-of-the-art PPO with its application in Large Language Models for RLHF fine-tuning. You may have noticed that the focus has always been on only one agent in the environment that learns to act optimally using RL training algorithms. However, there is a whole range of settings with more than one agent. These agents in the environment—either individually or in a collaborative manner—try to achieve some goal. A setup involving ...