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portada Explainable and Interpretable Reinforcement Learning for Robotics
Type
Physical Book
Collection
Synthesis Lectures on Artificial Intelligence and Machine Learning
Year
2025
Pages
114
Format
Paperback
Dimensions
24.00 x 16.80 cm
ISBN13
9783031475207

Explainable and Interpretable Reinforcement Learning for Robotics

Aaron M. Roth;Ram D. Sriram;Elham Tabassi;Dinesh Manocha (Author) · Springer International Publishing AG · Paperback

Explainable and Interpretable Reinforcement Learning for Robotics - Aaron M. Roth;Ram D. Sriram;Elham Tabassi;Dinesh Manocha

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Synopsis "Explainable and Interpretable Reinforcement Learning for Robotics"

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.

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