Abstract: This study presents an innovative thermal twin methodology augmented by deep learning for thermal simulation in semiconductor layout co-design. This method integrates deep learning into ...

To perform the simulation with our world agent and historical data, we extend ABIDES, an open-source agent-based interactive Python tool. To foster collaboration and help the research community we ...

Abstract: This work proposes a novel physics-based Cartpole simulation environment as a new benchmark to address the sim-to-real transfer. Our simulation environment extends the original Gymnasium ...