Reinforcement learning for sequential decision-making: a data-driven approach скачать в хорошем качестве

Reinforcement learning for sequential decision-making: a data-driven approach

Dr. Alessio Brini is a Postdoctoral Researcher at Duke University's Pratt School of Engineering, specializing in the Digital Asset Research & Engineering Collaborative (DAREC). Alessio addresses financial challenges in digital assets and decentralized finance (DeFi) with a focus on applied machine learning and data science methodologies. His proficiency spans all the diverse machine learning paradigms, including supervised, unsupervised, and reinforcement learning. Dr. Brini earned his Ph.D. in Mathematical Finance from Scuola Normale Superiore, where he concentrated on implementing value-based and policy-based reinforcement learning algorithms to solve various economic and financial issues. His thesis, "Reinforcement learning for sequential decision-making: a data-driven approach for finance," reflects his deep commitment to the intersection of finance and technology.