Reinforcement Learning and Architectures of Intelligence - Part 1

Explore reinforcement learning and architectures of intelligence in this comprehensive lecture presented by Ida Momennejad from Microsoft Research. Delve into the first part of a two-part series delivered at the Institute for Pure & Applied Mathematics (IPAM) at UCLA as part of the Mathematics of Intelligences Tutorials. Recorded on September 10, 2024, this 1-hour and 21-minute presentation offers valuable insights into the intersection of mathematics and artificial intelligence. Gain a deeper understanding of reinforcement learning concepts and their applications in developing intelligent systems. Discover how mathematical principles contribute to the design and implementation of advanced AI architectures. Engage with cutting-edge research and theoretical frameworks that shape the future of machine learning and cognitive science.