Show HN: I built an integration for RL training of browser agents for everyone

https://github.com/PrimeIntellect-ai/verifiers/tree/main/verifiers/envs/integrations/browser_env
This integration allows for scalable evals and training of browser agents with hosted Prime Intellect eval + training pipelines and headless browser infrastructure on Browserbase to RL train browser agents with LoRA.

Comments

nithisha2201Mar 25, 2026, 7:14 PM
Interesting, how do you handle the observability side during training? One thing I ran into with multi-agent RL is that reward signals alone don't tell you much about why an agent is failing. Curious if you've built any tooling around that.
Remi_EtienMar 25, 2026, 7:24 PM
[dead]
georaaMar 25, 2026, 5:21 PM
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