గ్లోబల్ జర్నల్ ఆఫ్ ఇంజనీరింగ్, డిజైన్ & టెక్నాలజీ
అందరికి ప్రవేశం

నైరూప్య

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.