Ebook: Algorithms for Decision Making
Author: Mykel J. Kochenderfer, Tim A. Wheeler, Kyle H. Wray
- Genre: Computers // Algorithms and Data Structures
- Tags: Algorithms, Genetic Algorithms, Bayesian Networks, Bayesian Inference, Kalman Filtering, Decision Making, Statistics, Gradient Descent, Numerical Methods, Maximum Likelihood Estimation, Applied Mathematics, Uncertainty, Naïve Bayes, Multi-Agent Systems
- Year: 2020
- Publisher: The MIT Press
- City: Cambridge, MA
- Edition: 1
- Language: English
- pdf
This book provides a broad introduction to algorithms for decision making under uncertainty. We cover a wide variety of topics related to decision making, introducing the underlying mathematical problem formulations and the algorithms for solving them.
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