Researchers from Politecnico di Milano and STMicroelectronics published a technical paper titled “Event-Driven Reinforcement Learning Enables Long-Horizon Control in Semiconductor Fabrication.” The paper proposes a deep reinforcement learning framework for multi-objective policy optimization in semiconductor manufacturing, where heterogeneous wafers move through hundreds of process steps across complex equipment networks. The researchers formulate fab control as... » read more The post Event-Driven RL Targets Long-Horizon Fab Control appeared first on Semiconductor Engineering .
Source: Semiconductor Engineering — read the full report at the original publisher.
