书目名称 | Explainable and Interpretable Reinforcement Learning for Robotics | 编辑 | Aaron M. Roth,Dinesh Manocha,Elham Tabassi | 视频video | | 概述 | Provides readers with a categorization system to discuss explainable and interpretable RL techniques.Explores RL methodology specific to robotics applications.Explains how interpretable RL algorithms | 丛书名称 | Synthesis Lectures on Artificial Intelligence and Machine Learning | 图书封面 |  | 描述 | .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. These include difficulties in preventing safety constraints from being violated and the issues faced by systems operators who desire explainable policies and actions. Robotics applications present a unique set of considerations and result in a number of opportunities related to their physical, real-world sensory input and interactions.. The authors consider classification techniques used in past surveys and papers and attempt to unify terminology across the field. The book provides an in-depth exploration of 12 attributes that can be used to classify explainable/interpretable techniques. These include whether the RL method is model-agnostic or model-specific, self-explainable or post-hoc, as well as additional analysis of the attributes of scope, when-produced, format, knowledge limits, explanation accuracy, audience, predictability, legibility, readability, a | 出版日期 | Book 2024 | 关键词 | Robot Learning; Autonomous Robotics; Safe AI; Explainable AI; Interpretable AI; Learning Systems; Intellig | 版次 | 1 | doi | https://doi.org/10.1007/978-3-031-47518-4 | isbn_softcover | 978-3-031-47520-7 | isbn_ebook | 978-3-031-47518-4Series ISSN 1939-4608 Series E-ISSN 1939-4616 | issn_series | 1939-4608 | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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