Autonomous systems are on the frontiers of Artificial Intelligence
(AI) research, and they are slowly finding their business
applications. Driven mostly by Reinforcement Learning (RL) methods
(one of the most difficult, but also the most promising modern AI
algorithms), autonomous systems help create self-learning and
self-optimising systems, ranging from simple game-playing agents to
robots able to efficiently act in completely new environments.
Based on in-depth study of more than 100 projects, Andrzej Wodecki
explores RL as a key component of modern digital technologies, its
real-life applications to activities in a value chain and the ways
in which it impacts different industries. Artificial Intelligence
in Management will help project leaders, decision makers and
investors evaluate new autonomous projects and will serve as an
inspiring guide for future research.
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