From the source
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.
Unlocking Agentic RL Training for GPT-OSS: A Practical Retrospective
From the source
This blog explores the journey to unlock agentic RL training for GPT-OSS as a potential backbone model for agentic applications.
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