26 citations · 26 across the 4 of their papers we have counts for
4 papers
A flexible language model-assisted electronic design automation framework
Cristian Sestito, Panagiota Kontou, Pratibha Verma +5
Large language models (LLMs) are transforming electronic design automation (EDA) by enhancing design stages such as schematic design, simulation, netlist synthesis, and place-and-r…
A Multilevel Reinforcement Learning Framework for PDE-based Control
Atish Dixit, Ahmed Elsheikh
Reinforcement learning (RL) is a promising method to solve control problems. However, model-free RL algorithms are sample inefficient and require thousands if not millions of sampl…
Robust optimal well control using an adaptive multi-grid reinforcement learning framework
Atish Dixit, Ahmed H. ElSheikh
Reinforcement learning (RL) is a promising tool to solve robust optimal well control problems where the model parameters are highly uncertain, and the system is partially observabl…
Stochastic optimal well control in subsurface reservoirs using reinforcement learning
Atish Dixit, Ahmed H. ElSheikh
We present a case study of model-free reinforcement learning (RL) framework to solve stochastic optimal control for a predefined parameter uncertainty distribution and partially ob…