PPO Archives – EntropySol AI

Tag: PPO

AI Alignment, AI Ethics, AI Safety, Human Preferences, Large Language Models, LLMs, Policy Model, PPO, Reinforcement Learning, Reinforcement Learning from Human Feedback, Reward Model, RLHF, Supervised Fine-Tuning

Bridging the Gap: Reinforcement Learning from Human Feedback

Ibrahim

June 7, 2025

Large language models (LLMs) are incredibly powerful, capable of generating coherent and creative text. Yet, left to their own devices, they can sometimes produce undesirable outputs such as factual inaccuracies, harmful content, or just unhelpful responses. The crucial challenge is alignment: making these powerful AIs behave in a way that is helpful, harmless, and honest.…
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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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