3 papers
cs.LG2026
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…
cs.LG2025
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…
cs.LG2024
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…