Aaron M. Roth,Dinesh Manocha,Ram D. Sriram,Elham Tabassi
Explainable and Interpretable Reinforcement Learning for Robotics
Explainable and Interpretable Reinforcement Learning for Robotics
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- More about Explainable and Interpretable Reinforcement Learning for Robotics
Format: Hardback
Length: 114 pages
Publication date: 20 March 2024
Publisher: Springer International Publishing AG
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.
Dimension: 240 x 168 (mm)
ISBN-13: 9783031475177
Edition number: 2024 ed.
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