YoVDO

Reinforcement Learning and Architectures of Intelligence - Part 3

Offered By: Institute for Pure & Applied Mathematics (IPAM) via YouTube

Tags

Reinforcement Learning Courses Artificial Intelligence Courses Machine Learning Courses Deep Learning Courses Neural Networks Courses Cognitive Sciences Courses Computational Neuroscience Courses Reward Systems Courses Optimization Algorithms Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the final installment of a three-part lecture series on reinforcement learning and architectures of intelligence presented by Ida Momennejad from Microsoft Research. Delivered at the Institute for Pure & Applied Mathematics (IPAM) at UCLA as part of the Mathematics of Intelligences Tutorials, this 85-minute talk delves deep into advanced concepts in the field. Gain insights into cutting-edge research and applications of reinforcement learning in artificial intelligence. Recorded on September 13, 2024, this lecture offers a comprehensive look at the intersection of mathematics and machine learning, providing valuable knowledge for researchers, students, and professionals interested in the future of AI architectures.

Syllabus

Ida Momennejad - Reinforcement Learning and architectures of intelligence, Pt. 3 of 3 - IPAM at UCLA


Taught by

Institute for Pure & Applied Mathematics (IPAM)

Related Courses

Neural Networks for Machine Learning
University of Toronto via Coursera
機器學習技法 (Machine Learning Techniques)
National Taiwan University via Coursera
Machine Learning Capstone: An Intelligent Application with Deep Learning
University of Washington via Coursera
Прикладные задачи анализа данных
Moscow Institute of Physics and Technology via Coursera
Leading Ambitious Teaching and Learning
Microsoft via edX