Kavli Affiliate: David W. Miller | Summary:High-throughput scientific facilities such as the Large Hadron Collider depend on real-time event filtering (textittriggering) under tight constraints on bandwidth, latency, and storage. In practice, trigger menus are largely static and hand-tuned and can become suboptimal as detector conditions, pileup, and background composition drift over time. We cast online […]
Continue.. Learning to Trigger: Reinforcement Learning at the Large Hadron Collider