Show HN: I built an integration for RL training of browser agents for everyone (github.com)

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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.

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