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verl
verl (Verlet) is an early reinforcement‑learning system that implements an episode‑wise ReAct‑style interaction loop, where a model generates an action, receives an observation, and then generates the next action. It exemplifies the traditional agentic RL paradigm that Agent Lightning’s Harnessed Agentic RL contrasts with. Qwen‑2.5‑7B training uses veRL as the trainer· Entity summary generated by Graphiti
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BY VALID-FROM DATE- Qwen3.5-0.8BUSES TRAINERverl
Qwen‑2.5‑7B training uses veRL as the trainer
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