Skip to main content

Ctrl+K

Contents

Introduction

Foreword
What is reinforcement learning?
Getting started with a first example

Single-agent Reinforcement Learning

Markov Decision Processes
Value-based methods
Policy-based methods
Modelling and abstraction for MDPs

Multi-agent Reinforcement Learning

Normal form games
Extensive form games
- Backward induction
- Multi-agent reinforcement learning
Modelling and abstraction for multi-agent games

Appendix

Introduction to basic probability theory

Repository
Open issue

Search

Ctrl+K

By Tim Miller, The University of Queensland

© Copyright 2023.