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# Proximal Policy Optimization in RL

**[Daily Dose of Data Science \| Avi Chawla \| Substack](https://daily.dev/sources/dailydoseofds)** · 3 min read · 1 upvotes · 0 comments

## Summary

Part 8 of a Reinforcement Learning course covering Proximal Policy Optimization (PPO) in depth. Topics include why large policy updates cause collapse, trust regions, the clipped surrogate objective, the KL-penalty variant used in LLM alignment, practical diagnostics for unhealthy training runs, and a from-scratch PyTorch implementation trained on LunarLander. The post also explains how PPO underpins RLHF for ChatGPT and how later methods like DPO, GRPO, and Constitutional AI were all designed in response to PPO.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://blog.dailydoseofds.com/p/proximal-policy-optimization-in-rl>

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Tags: [#pytorch](https://daily.dev/tags/pytorch), [#reinforcement-learning](https://daily.dev/tags/reinforcement-learning)

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