Abstract: Algorithmic stock trading has improved tremendously, with Reinforcement Learning (RL) algorithms being more adaptable than classic approaches like mean reversion and momentum. However, ...
An overview of our research on agentic RL. In this work, we systematically investigate three dimensions of agentic RL: data, algorithms, and reasoning modes. Our findings reveal: Real end-to-end ...
Abstract: Converter power sharing and DC voltage regulation are critical control objectives in voltage source converter-based multi-terminal high-voltage DC (VSC-MTDC) systems, particularly when ...