Gabriele Venturato studies AI systems that must act before they fully understand the world. His research explores how learning, logic, and probability can be tightly integrated to build agents that reason under uncertainty while remaining safe over long decision horizons. He is particularly interested in neurosymbolic approaches to sequential decision making and reinforcement learning. Gabriele is a postdoctoral researcher at KU Leuven’s DTAI group, supervised by Luc De Raedt, with a background in automated reasoning and formal methods.

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