318 citations · 1.9k across the 28 of their papers we have counts for
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physics.data-an2019
libGroomRL: Reinforcement Learning for Jets
Stefano Carrazza, Frédéric A. Dreyer
In these proceedings, we present a library allowing for straightforward calls in C++ to jet grooming algorithms trained with deep reinforcement learning. The RL agent is trained wi…
hep-ph2019★ 54 cited
Lund jet images from generative and cycle-consistent adversarial networks
Stefano Carrazza, Frédéric A. Dreyer
We introduce a generative model to simulate radiation patterns within a jet using the Lund jet plane. We show that using an appropriate neural network architecture with a stochasti…
hep-ph2019★ 20 cited
Jet grooming through reinforcement learning
Stefano Carrazza, Frédéric A. Dreyer
We introduce a novel implementation of a reinforcement learning (RL) algorithm which is designed to find an optimal jet grooming strategy, a critical tool for collider experiments.…