Titlebook: Explainable and Interpretable Reinforcement Learning for Robotics; Aaron M. Roth,Dinesh Manocha,Elham Tabassi Book 2024 The Editor(s) (if

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Chandra R. Bhat,Frank S. Koppelman Attributes can be robot-specific or general. General Soft Attributes include (vi) Knowledge Limits (does system understand its own applicability and limits?), (vii) Explanation Accuracy (how accurate are explanations themselves), and (viii) Audience. Robot-specific Soft Attributes include (ix) Pred

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Book 2024erpretable 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

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1939-4608 ific, 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, a978-3-031-47520-7978-3-031-47518-4Series ISSN 1939-4608 Series E-ISSN 1939-4616

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Classification System, Attributes can be robot-specific or general. General Soft Attributes include (vi) Knowledge Limits (does system understand its own applicability and limits?), (vii) Explanation Accuracy (how accurate are explanations themselves), and (viii) Audience. Robot-specific Soft Attributes include (ix) Pred

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