DART-GUI: Efficient Multi-turn RL for GUI Agents via Decoupled Training and Adaptive Data Curation
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Updated
Dec 23, 2025 - Python
DART-GUI: Efficient Multi-turn RL for GUI Agents via Decoupled Training and Adaptive Data Curation
An AI doctor agent trained to master two core skills of a human physician: dynamic inquiry and decison-making, based on experiential agentic reinforcement learning.
Official Code of Paper: MolAct: An Agentic RL Framework for Molecular Editing and Property Optimization
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