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Enabling Composition in Distributed Reinforcement Learning - Richard Liaw and Eric Liang
How are LLMs Trained Distributed Training in AI (at NVIDIA)
[UCLA RL-LLM] Chapter 1.4: Deep policy gradient methods (PPO, GRPO)
Learn Policy Gradient with PyTorch - Deep Reinforcement Learning
Distributed Training Deep Dive in 3 Hours
Implementing RL Algorithms for LLMs | Post-Training Course, Lecture 4
Random Initialization | Build Your Own LLM Workshop #10
A friendly introduction to distributed training (ML Tech Talks)
Reinforcement learning is terrible – Andrej Karpathy
Next-Gen AI - Multi-Agent LLMs and Policy Gradient RL Explained
Designing and Building Custom Reinforcement Learning Environments for Fine-tuning LLMs - N. Bantilan
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Last Updated: August 19, 2026
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![[UCLA RL-LLM] Chapter 1.3: Deep policy gradient methods (A3C) Guide](https://i.ytimg.com/vi/iWOJpNr-kcI/mqdefault.jpg)
![[UCLA RL-LLM] Chapter 1.4: Deep policy gradient methods (PPO, GRPO)](https://i.ytimg.com/vi/qzaX7DBloZc/mqdefault.jpg)
