Thinking with Map: Reinforced Parallel Map-Augmented Agent for Geolocalization
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Updated
Feb 10, 2026 - Python
Thinking with Map: Reinforced Parallel Map-Augmented Agent for Geolocalization
DART-GUI: Efficient Multi-turn RL for GUI Agents via Decoupled Training and Adaptive Data Curation
SGLang model provider for Strands Agents for on-policy agentic RL training.
Standardizing environment infrastructure with Strands Agents — step, observe, reward.
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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