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Explainable and Interpretable Reinforcement Learning for Robotics - Synthesis Lectures on Artificial Intelligence and Machine Learning Aaron M. Roth 2024 edition
Explainable and Interpretable Reinforcement Learning for Robotics - Synthesis Lectures on Artificial Intelligence and Machine Learning
Aaron M. Roth
This book surveys the state of the art in explainable and interpretable reinforcement learning (RL) as relevant for robotics. While RL in general has grown in popularity and been applied to increasingly complex problems, several challenges have impeded the real-world adoption of RL algorithms for robotics and related areas.
114 pages, 13 Illustrations, color; 1 Illustrations, black and white; XV, 114 p. 14 illus., 13 illus
| メディア | 書籍 Hardcover Book (ハードカバー付きの本) |
| リリース済み | 2024年3月20日 |
| ISBN13 | 9783031475177 |
| 出版社 | Springer International Publishing AG |
| ページ数 | 114 |
| 寸法 | 175 × 249 × 13 mm · 364 g |
| 言語 | ドイツ語 |