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cs.AI2026
A Unified Framework for Dynamic Reward Shaping in Reinforcement Learning
Fouad Bahrpeyma
Sparse, delayed, and weakly informative rewards remain central obstacles to efficient reinforcement learning. Reward shaping addresses these limitations by supplementing the task r…
cs.AI2026
A MARL Centered Reference Architecture for Large Language Model Augmentation in Smart Manufacturing
Fouad Bahrpeyma, Dirk Reichelt
Modern manufacturing imposes six coupled demands on adaptive control: local decisions with global consequences, partial observability, nonstationarity, reflex speed response with l…