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Molt: A Scalable PyTorch-Native Training Framework for Agentic Reinforcement Learning
Molt is a new open-source PyTorch-native training framework designed to simplify and accelerate agentic reinforcement learning research by reducing code complexity, enabling full algorithm traceability, and maintaining statistical parity with high-performance Megatron-based systems.
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"Molt is a lightweight PyTorch-native framework for agentic RL that matches Megatron’s performance while being easier for researchers and AI assistants to understand."
arXiv Machine Learning
Jul 27, 2026