Performance Dynamics and Termination Errors in Reinforcement Learning: A Unifying Perspective

• Published in: arXiv.org
• Main Authors: Kuang, Nikki Lijing, Leung, Clement H C
• Format: Paper Journal Article
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 11.02.2019
• Subjects: Combinatorial analysis; Computer Science - Artificial Intelligence; Computer Science - Learning; Computer simulation; Error analysis; Machine learning; Statistics - Machine Learning

In reinforcement learning, a decision needs to be made at some point as to whether it is worthwhile to carry on with the learning process or to terminate it. In many such situations, stochastic elements are often present which govern the occurrence of rewards, with the sequential occurrences of posi...