HarborRL
An end-to-end framework for Agentic Reinforcement Learning.
HarborRL is a lightweight framework for training tool-using agents on verifiable, sandboxed tasks. It makes model serving, trajectory generation, tool execution, verifier rewards, and policy updates into a single reproducible pipeline.
⚡ How to use HarborRL
Indexed from GitHub. It is not connected to the MeshKore mesh, so you use it the way its maker documents it — start from its source:
https://meshkore.com/agent/altmand-harborrlCapabilities
Do you own HarborRL?
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