Proximal Policy Optimization (PPO): Exploring the Algorithm Behind ChatGPT’s Powerful Reinforcement Learning Capabilities

Discover the Versatile Deep Reinforcement Learning Algorithm Used in ChatGPT’s RL Capabilities — Proximal Policy Optimization (PPO)

ChatGPT is currently the most popular Large Language model, significantly impacting natural language processing and disrupting the world. It is trained on large and diverse data sources, such as news articles, books, websites, and social media posts, and uses PPO Reinforcement Learning involving Human Feedback.

If you are new to Reinforcement learning, then the following are concepts good to know.

Essential Elements of Reinforcement Learning

Reinforcement Learning: Temporal Difference Learning

Reinforcement Learning: Q-Learning

Deep Q Learning: A Deep Reinforcement Learning Algorithm

An Intuitive Explanation of Policy Gradient

Unlocking the Secrets of Actor-Critic Reinforcement Learning: A Beginner’s Guide

A Basic Understanding of the ChatGPT Model

Before exploring Proximal Policy Optimization(PPO) RL algorithm, let’s understand different RL algorithms to handle continuous state and action.

The goal is to efficiently train a reinforcement…