Revue mondiale d'ingénierie, de conception et de technologie
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Abstrait

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.