Agent Lightning paper trains models through the same harness used at deployment
bibryam · x · 2026-11-08
The Agent Lightning paper ("Towards Harnessed Agentic RL") proposes training models through the exact same harness used at deployment, closing the gap between training and real agent usage.
Key technical contents covered:
- Sample assembly strategies
- Advantage calculation
- Loss normalization
- Scheduling
- Reproducible coding-agent training scripts
An accompanying diagram compares three GPU scheduling modes — Sync (fewer GPUs, low efficiency), Async (high efficiency but more GPUs), and Colocated Async (high efficiency with fewer GPUs) — illustrating the framework's resource trade-offs between rollouts and weight updates.
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