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Unlocking Agentic RL Training for GPT-OSS: A Practical Retrospective

The blog post describes a practical retrospective on training the GPT-OSS model with agentic reinforcement learning, detailing challenges such as exploding KL divergence and a fix for a log-probability mismatch in MoE architectures using the verl framework.

From the source
This blog explores the journey to unlock agentic RL training for GPT-OSS as a potential backbone model for agentic applications.
huggingface.co

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Announced: 27 Jan 2026 01:53 UTC
Detected: 03 Aug 2026 21:12 UTC (+188d after)

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