A Reinforcement Learning Approach to Improve Backfilling Strategies for High-Performance Computing Batch Job Scheduling

Reinforcement learning can be effectively leveraged to learn efficient backfilling strategies that outperform traditional heuristic-based approaches, by directly optimizing for scheduling performance metrics like average bounded job slowdown.