Molt: a PyTorch-native training framework for agentic reinforcement learning reduces researcher cost per iteration
Read the original at arxiv.org→arXiv:2607.21653v1 Announce Type: new Abstract: Agentic reinforcement learning research is constant algorithm modification, new estimators, new pipeline stages, new rollout schemes, and in mainstream frameworks each...
Original headline: "Molt: A Scalable PyTorch-Native Training Framework for Agentic Reinforcement Learning"
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- Jul 27, 04:00 UTC arXiv cs.LG lead source Molt: A Scalable PyTorch-Native Training Framework for Agentic Reinforcement Learning