Korl's platform works across multiple systems, using multi-agent and multimodal AI to create highly-customized customer messaging.

However, the huge search space for actions associated with antenna beamforming causes the learning process for the RL agent to be inefficient due to high beam training overhead. The learning process ...

We propose UI-R1, the first framework to explore how rule-based RL can enhance the reasoning capabilities of ... @article{lu2025ui, title={UI-R1: Enhancing Action Prediction of GUI Agents by ...

The proposed system features two RL agents: one for predicting AAV velocities to follow a reference trajectory and another for managing collision avoidance in the presence of obstacles. This ...