Global Journal of Engineering, Design & Technology
Open Access

Abstract

Deadlock-Detection via Reinforcement Learning.

Chen M

Optimization of makespan in scheduling is a highly desirable research topic, deadlock detection and prevention is one of the fundamental issues. Supported by what learned from this class, a reinforcement learning approach is developed to unravel this optimization difficulty. By evaluating this RL model on forty classical non-buffer benchmarks and compare with other alternative algorithms, we presented a near-optimal result.
 

Published Date: 2020-06-02;