Overview
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Explore the fundamentals of reinforcement learning in this comprehensive bootcamp lecture delivered by Gaurav Mahajan at the International Centre for Theoretical Sciences. Gain foundational knowledge in reinforcement learning principles, algorithms, and applications as part of a broader program on probabilistic and optimization methods in data science. Learn how reinforcement learning fits within the theoretical landscape of machine learning and its connections to probability and optimization theory. Understand key concepts, methodologies, and current developments in the field through structured instruction designed for researchers, students, and practitioners from diverse backgrounds. Discover how rigorous theoretical foundations inform the development of robust and adaptable reinforcement learning systems, preparing you for advanced study and research in this rapidly evolving area of machine learning.
Syllabus
Reinforcement Learning Bootcamp by Gaurav Mahajan
Taught by
International Centre for Theoretical Sciences