What is Proximal Policy Optimization ( PPO)?
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YouTubeData Science Made Easy
What is Proximal Policy Optimization ( PPO)?
Proximal Policy Optimization (PPO) is a popular reinforcement learning algorithm widely used for fine-tuning AI models, including those trained with human feedback. PPO improves training stability by restricting how much the policy (model’s behavior) can change in each update, preventing drastic shifts that might degrade performance. It does ...
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