Multi-Armed Bandits Courses and Certifications

Association for Computing Machinery (ACM)

Exploration with Limited Memory - Streaming Algorithms for Coin Tossing, Noisy Comparisons, and Multi-Armed Bandits

Explore streaming algorithms for coin tossing, noisy comparisons, and multi-armed bandits, focusing on limited memory scenarios and efficient problem-solving techniques.

• YouTube
• 24 minutes
• On-Demand
• Free Video

Data Science Conference

Enhancing Personalization Using Recommendation Systems and Multi-Armed Bandits

Discover how Wargaming's recommendation system uses advanced algorithms to analyze player behavior, boosting engagement and increasing revenue by over 40% through personalized content suggestions.

• YouTube
• 27 minutes
• On-Demand
• Free Video

Complete Course on A/B Testing with Interview Guide

1121 ratings at Udemy

AB Testing, Multivariate Testing, Multi-armed Bandit, Mock Interview Questions, R Coding, Statistics, Hypothesis Testing

• Udemy
• 2 hours 27 minutes
• On-Demand
• Paid Course

Paul G. Allen School

Bandits III - Advanced Algorithms for Multi-Armed Bandits

Explore advanced bandit algorithms and their applications in machine learning, focusing on theoretical foundations and practical implementations.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Free Video

Centre for Quantum Technologies

Bandits Roaming Hilbert Space - Multi-Armed Quantum Bandit Problem

Explore multi-armed bandit problems in quantum settings, balancing exploration vs exploitation when measuring unknown quantum states to maximize rewards and optimize energy transfer.

• YouTube
• 34 minutes
• On-Demand
• Free Video

Master reinforcement learning fundamentals through hands-on Python projects using Gymnasium, building agents that learn optimal strategies via trial and error in game environments.

• Codecademy
• 2 hours
• On-Demand
• Free Trial Available

Pascal Poupart

Reinforcement Learning - Spring 2018

Master reinforcement learning algorithms that enable machines to learn from partial feedback, covering Markov processes, deep RL, bandits, and applications in robotics and games.

• YouTube
• 1 day 22 minutes
• On-Demand
• Free Video

CodeEmporium

Reinforcement Learning 101

Discover the fundamentals of reinforcement learning through multi-armed bandits, Q-learning, deep Q-networks, and policy optimization techniques used in modern AI systems.

• YouTube
• 2 hours 4 minutes
• On-Demand
• Free Video

TensorFlow

Inside TensorFlow - TF-Agents

Explore TF-Agents, TensorFlow's reinforcement learning library, with experts demonstrating its capabilities, architecture, and applications in game playing, bandits, and recommender systems.

• YouTube
• 50 minutes
• On-Demand
• Free Video

ANITI Toulouse

Reinforcement Learning Virtual School 2021

Dive into reinforcement learning fundamentals, deep Q-networks, policy gradients, and practical applications through this comprehensive virtual school from ANITI Toulouse.

• YouTube
• 1 day 12 hours 30 minutes
• On-Demand
• Free Video

TensorFlow

Reinforcement Learning with TensorFlow Agents

Dive into reinforcement learning fundamentals and build intelligent agents using TensorFlow Agents, covering Deep Q Learning, policy gradients, and bandits for real applications.

• YouTube
• 51 minutes
• On-Demand
• Free Video

Paul G. Allen School

Bandits II - Advanced Algorithms and Applications

Explore advanced bandit algorithms and their applications in decision-making under uncertainty with Kevin Jamieson from the University of Washington.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

Institute for Advanced Study

Provably Efficient Reinforcement Learning with Linear Function Approximation - Chi Jin

Explore efficient reinforcement learning with linear function approximation, covering key concepts like sample efficiency, value-based algorithms, and exploration in multi-armed bandits and linear MDPs.

• YouTube
• 28 minutes
• On-Demand
• Free Video

Churchill CompSci Talks

How Slot Machines Are Advancing the State of the Art in Computer Go AI

Explore Monte Carlo Tree Search in computer Go AI, covering its advantages, UCB1 strategy, and recent refinements like AMAF/RAVE, with insights into ongoing research topics.

• YouTube
• 46 minutes
• On-Demand
• Free Video

Valence Labs

Applying Active Learning in Drug Discovery - There's No Free Lunch, but You Can Get a Discount

Explore active learning applications in drug discovery, from prioritizing molecules for synthesis to virtual screening of large libraries, with insights on machine learning's impact across the process.

• YouTube
• 53 minutes
• On-Demand
• Free Video