YoVDO

Bandits IV - Advanced Techniques in Multi-Armed Bandit Algorithms

Offered By: Paul G. Allen School via YouTube

Tags

Machine Learning Courses Reinforcement Learning Courses Bandit Algorithms Courses Multi-Armed Bandits Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore advanced concepts in bandit algorithms with Kevin Jamieson from the University of Washington in this hour-long lecture. Delve into the intricacies of multi-armed bandits, learning strategies, and their applications in decision-making processes. Gain insights into cutting-edge research and practical implementations of bandit algorithms in various domains. Enhance your understanding of reinforcement learning and optimization techniques through this comprehensive presentation from a leading expert in the field.

Syllabus

Bandits IV Kevin Jamieson University of Washington


Taught by

Paul G. Allen School

Related Courses

Inside TensorFlow - TF-Agents
TensorFlow via YouTube
Provably Efficient Reinforcement Learning with Linear Function Approximation - Chi Jin
Institute for Advanced Study via YouTube
Exploration with Limited Memory - Streaming Algorithms for Coin Tossing, Noisy Comparisons, and Multi-Armed Bandits
Association for Computing Machinery (ACM) via YouTube
How Slot Machines Are Advancing the State of the Art in Computer Go AI
Churchill CompSci Talks via YouTube
CS885: Multi-Armed Bandits
Pascal Poupart via YouTube