HF Daily Papers
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Molt: A Scalable PyTorch-Native Training Framework for Agentic Reinforcement Learning
Agentic reinforcement learning research is constant algorithm modification, new estimators, new pipeline stages, new rollout schemes, and in mainstream frameworks each change threads through layers of trainer, distributed backend, and rollout glue: the cost lands on the researcher at every iteration