TEXPLORE: Temporal Difference Reinforcement Learning for Robots and Time-Constrained Domains

This book presents and develops new reinforcement learning methods that enable fast and robust learning on robots in real-time. It presents a novel model-based reinforcement learning algorithm.

Latest research on Temporal Difference Reinforcement Learning for Robots Focuses on applying Reinforcement Learning to real-world problems, particularly learning on robots Presents the model-based Reinforcement Learning algorithm developed by the authors group Written by an expert in the field

Inhalt
Introduction .- Background and Problem Specification.- Real Time Architecture.- The TEXPLORE Algorithm.- Empirical Evaluation.- Further Examination of Exploration.- Related Work.- Discussion and Conclusion.- TEXPLORE Pseudo-Code.