YoVDO

Game Theoretic Learning and Spectrum Management - Part 2

Offered By: IEEE Signal Processing Society via YouTube

Tags

Game Theory Courses Machine Learning Courses Reinforcement Learning Courses Signal Processing Courses Algorithms Courses Stochastic Processes Courses Multi-Armed Bandits Courses

Course Description

Overview

Dive into the second part of a three-part lecture series on game theoretic learning and spectrum management presented by Amir Leshem and Kobi Cohen for the IEEE Signal Processing Society. Explore key concepts such as single-player multi-arm bandit problems, stochastic map formulation, and sublinear regret. Examine various algorithms including UCB1, epsilon-greedy, and adaptive sequential algorithms. Investigate Markovian rewards, restless MAPs, and regret minimization techniques. Learn about exploration and exploitation network structures, reinforcement learning, and deep reinforcement learning applications. Gain insights into single-agent learning and exploration phases through simulations and practical examples in this comprehensive one-hour lecture.

Syllabus

Game Theoretic Learning
Single Player Multiarm Bandit
Motivation to Multiarm
stochastic map formulation
sublinear regret
ucb1
epsilon and greedy
markovian reward
restless map
goal notation
regret minimization
Adaptive Sequential Algorithms
Exploration Network Structure
Exploitation Networks
Simulations
Reinforcement Learning
Deep Reinforcement Learning
The Problem
The Algorithm
Single Agent Learning
Exploration Phase A


Taught by

IEEE Signal Processing Society

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