We have 3 of 15 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Diffusion policies are increasingly used in robotic control and manipulation, vision-language-action models, and world-model-based agents. Their ability to represent multimodal action distributions offers rich opportunities for exploration in reinforcement learning (RL). However, optimizing diffusion policies with RL c...
This work proposes QAMM, a method that turns the critic-derived adjoint signal into supervision for MeanFlow's average velocity, and derives the adjoint MeanFlow target, specify its gradient boundaries, and train it with an offline actor-critic.
The rapid proliferation of Electric Vehicles (EVs) introduces significant spatio-temporal uncertainties into power grids, while Vehicle-to-Grid (V2G) technology offers critical flexibility through bidirectional power flow. However, integrating large-scale EVs into the Optimal Power Flow framework presents substantial c...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
