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Molt: A Scalable PyTorch-Native Training Framework for Agentic Reinforcement Learning

28 upvotes · 22 JUL 2026 · Jian Hu, Huiying Li, Hao Zhang et al.

This paper introduces Molt, a lightweight PyTorch framework for agentic reinforcement learning that aims to simplify the development process by reducing the overhead of algorithm modifications and framework changes. Practitioners might care about Molt because it can help them build and train reinforcement learning models more efficiently.

reinforcement learningagentic reinforcement learningPyTorchscalable frameworksdistributed training