Multi-Objective Decision Making |
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| Author:
| Roijers, Diederik M.
Whiteson, Shimon
Brachman, Ronald
Stone, Peter |
| Series title: | Synthesis Lectures on Artificial Intelligence and Machine Learning Ser. |
| ISBN: | 978-1-62705-960-2 |
| Publication Date: | Apr 2017 |
| Publisher: | Morgan & Claypool Publishers
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| Book Format: | Paperback |
| List Price: | USD $39.95USD $39.95 |
Book Description:
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Many real-world decision problems have multiple objectives. For example, when choosing a medical treatment plan, we want to maximize the efficacy of the treatment, but also minimize the side effects. These objectives typically conflict. In this book, the authors outline how to deal with multiple objectives in decision-theoretic planning and reinforcement learning algorithms.
Many real-world decision problems have multiple objectives. For example, when choosing a medical treatment plan, we want to maximize the efficacy of the treatment, but also minimize the side effects. These objectives typically conflict. In this book, the authors outline how to deal with multiple objectives in decision-theoretic planning and reinforcement learning algorithms.