14 citations · 15 across the 4 of their papers we have counts for
4 papers · 1 filter
Event-Driven Reinforcement Learning Enables Long-Horizon Control in Semiconductor Fabrication
Yavar Yeganeh, Mahsa Shekari, Nicla Frigerio +2
Reinforcement learning promises to optimize sequential decisions in large-scale systems. Semiconductor manufacturing systems are stochastic and highly constrained environments wher…
Deep Active Inference Agents for Delayed and Long-Horizon Environments
Yavar Taheri Yeganeh, Mohsen Jafari, Andrea Matta
With the recent success of world-model agents, which extend the core idea of model-based reinforcement learning by learning a differentiable model for sample-efficient control acro…
Active Inference Meeting Energy-Efficient Control of Parallel and Identical Machines
Yavar Taheri Yeganeh, Mohsen Jafari, Andrea Matta
We investigate the application of active inference in developing energy-efficient control agents for manufacturing systems. Active inference, rooted in neuroscience, provides a uni…
FunQG: Molecular Representation Learning Via Quotient Graphs
Hossein Hajiabolhassan, Zahra Taheri, Ali Hojatnia +1
Learning expressive molecular representations is crucial to facilitate the accurate prediction of molecular properties. Despite the significant advancement of graph neural networks…