• Corpus ID: 203610578

libGroomRL: Reinforcement Learning for Jets

  title={libGroomRL: Reinforcement Learning for Jets},
  author={Stefano Carrazza and Fr{\'e}d{\'e}ric A. Dreyer},
  journal={arXiv: Data Analysis, Statistics and Probability},
  • S. CarrazzaF. Dreyer
  • Published 15 September 2019
  • Computer Science
  • arXiv: Data Analysis, Statistics and Probability
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 with a reward function constructed to optimize the groomed jet properties, using both signal and background samples in a simultaneous multi-level training. We show that the grooming algorithm derived from the deep RL agent can match state-of-the-art techniques used at the Large Hadron Collider, resulting in improved… 

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