Explainable and Interpretable Reinforcement Learning for Robotics

by Dinesh Manocha, Aaron M. Roth, Ram Sriram

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...

• Format: Hardcover
• Language: English
• ISBN: 3031475178
• ISBN13: 9783031475177
• Release Date: March 2024
• Publisher: Springer
• Length: 114 Pages
• Weight: 0.85 lbs.
• Dimensions: 0.1" x 6.5" x 9.4"