@Phoenixyin13: Highly recommend this RL interview question collection! @sheriyuo compiled 35 RL benchmarks covering both Algorithm and Infrastructure, from PPO, GRPO's clip, KL penalty, advantage calculation, to…
Summary
Recommend an RL interview question collection compiled by @sheriyuo, covering algorithms and infrastructure such as PPO, GRPO, MoE, vLLM, suitable for LLM RL interview preparation and research.
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Cached at: 06/08/26, 03:14 AM
Strongly Recommend this RL Interview Question Collection!
@sheriyuo has compiled 35 RL benchmark questions, covering Algorithm + Infrastructure comprehensively. From PPO, GRPO’s clip, KL penalty, advantage calculation, to MoE training-inference inconsistency, vLLM/SGLang utilization, async framework staleness control, DeepSeek series RL improvements…
The most frequently asked and most extensible questions for 2026 LLM RL interviews are all gathered here.
Full Chinese version here: https://zhuanlan.zhihu.com/p/2046740446353811230…
Xiuyu believes that memorizing questions is only one aspect; comprehensive understanding is what scales. I think that’s very correct. Now RL positions increasingly require full-stack capabilities — algorithm researchers are also asked about Infra, and vice versa.
For those preparing for RL, Agent post-training, or related interviews and research, I strongly recommend taking a look.
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