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Masked Diffusion Language Models are Strong and Steerable Text-Based World Models for Agentic RL

5 upvotes · 7 MAY 2026 · Darshan Deshpande

This paper develops a new type of artificial intelligence model that can simulate complex environments and make decisions in them, which could be useful for training robots and other agents to perform tasks in the real world. Practitioners might care because these models could help solve problems in areas like robotics, autonomous vehicles, and healthcare.

reinforcement learningworld modelsagentic RLmasked diffusion language modelstransition-dynamics