Full Shot Predictions for the DIII-D Tokamak via Deep Recurrent Networks

no code implementations • 18 Apr 2024 • Ian Char, Youngseog Chung, Joseph Abbate, Egemen Kolemen, Jeff Schneider

Although tokamaks are one of the most promising devices for realizing nuclear fusion as an energy source, there are still key obstacles when it comes to understanding the dynamics of the plasma and controlling it.

Exploration via Planning for Information about the Optimal Trajectory

1 code implementation • 6 Oct 2022 • Viraj Mehta, Ian Char, Joseph Abbate, Rory Conlin, Mark D. Boyer, Stefano Ermon, Jeff Schneider, Willie Neiswanger

In this work, we develop a method that allows us to plan for exploration while taking both the task and the current knowledge about the dynamics into account.

Reinforcement Learning (RL)