Proximal Policy Optimization (PPO) is a reinforcement learning algorithm used in deep reinforcement learning. It is an on-policy algorithm that combines the benefits of trust region optimization and ...
This project provides a hands-on tutorial for understanding and implementing the Proximal Policy Optimization (PPO) algorithm to fine-tune Large Language Models (LLMs) using Reinforcement Learning (RL ...
"Historical citations (PPO Schulman 1707.06347, InstructGPT 2203.02155, DPO Rafailov 2023 NeurIPS, DeepSeekMath GRPO 2402.03300, DeepSeek-R1 2501.12948, KTO/IPO/SimPO/ORPO)", "Callout 'empty ...
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