arXiv cs.LG
· Papers
Molt: A Scalable PyTorch-Native Training Framework for Agentic Reinforcement Learning
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 change threads through layers of trainer, distributed backend, and rollout glue: the cost lands on the r