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Actor Critic, AI Alignment, Clipped Objective, Deep Learning, Large Language Models, LLMs, Machine Learning, Policy Gradient, PPO, Proximal Policy Optimization, PyTorch, Reinforcement Learning, Reinforcement Learning from Human Feedback, RL

Master of Control: Understanding Proximal Policy Optimization (PPO)

Ibrahim

June 7, 2025

In the dynamic world of Reinforcement Learning (RL), an agent learns to make sequential decisions by interacting with an environment. It observes states, takes actions, and receives rewards, with the ultimate goal of maximizing its cumulative reward over time. One of the most popular and robust algorithms for achieving this is Proximal Policy Optimization (PPO).…
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