- Добавил: literator
- Дата: 10-04-2023, 06:33
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Автор: Shengbo Eben Li
Издательство: Springer
Год: 2023
Страниц: 484
Язык: английский
Формат: pdf (true)
Размер: 22.9 MB
As one of the most important Artificial Intelligence (AI) branches, Reinforcement Learning (RL) has attracted increasing attention in recent years. RL is an interdisciplinary field of trial‐and‐error learning and optimal control that promises to provide optimal solutions for decision‐making or control in large‐scale and complex dynamic processes. Have you ever wondered how AlphaZero learns to defeat the top human Go players? Do you have any clues about how an autonomous driving system can gradually develop self-driving skills beyond normal drivers? What is the key that enables AlphaStar to make decisions in Starcraft, a notoriously difficult strategy game that has partial information and complex rules? The core mechanism underlying those recent technical breakthroughs is Reinforcement Learning (RL), a theory that can help an agent to develop the self-evolution ability through continuing environment interactions.