Ran Zheng

Shifting the focus from marginal probabilities to joint trajectory probabilities, dVLA-RL achieves unprecedented success rates in robotic manipulation tasks.

AHA-WAM achieves a remarkable 92.80% success rate on RoboTwin while executing actions at 24.17 Hz, all without the need for prior robot-data training.

Forget purely data-driven voltage control – this LLM-RL collaboration uses grid knowledge to slash training time and boost performance in active distribution networks.