Familiarizes machine learning experts with imitation learning, statistical supervised learning theory, and reinforcement learning and roboticists and experts in applied AI with broader appreciation for the frameworks and tools available for imitation learning.
Organises and summarises the large body of research related to facilitation of safe human-robot interaction. This book describes the strategies and methods that have been developed thus far, organises them into subcategories, characterizes relationships between the strategies, and identifies potential gaps in the existing knowledge.
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