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This paper investigates whether GRPO post-training improves a small (4B-8B) language and vision-language model web agent. It finds a controlled null result: no configuration yields credible gains on mastered tasks, and moderate-to-high learning rates cause degradation or collapse, revealing a double dissociation between degrade and collapse regimes.