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20002026
most citedDeep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models

180 citations

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31 papers · 1 filter

hep-ex2026

Machine learning techniques for jet reconstruction at LHCb and application to the search for and in TeV collisions

LHCb collaboration, R. Aaij, A. S. W. Abdelmotteleb +1194

Two machine learning techniques for jet measurements at the LHCb experiment are presented: a regression-based method for jet-energy calibration and a deep neural network algorithm…

hep-ex2025★ 1 cited

Branching fraction measurement of the decay

LHCb collaboration, R. Aaij, A. S. W. Abdelmotteleb +1187

A measurement of the branching fraction for the decay is presented using collision data collected by the LHCb experiment at a centre…

hep-ex2025★ 1 cited

Measurement of asymmetry in decays with Run 3 data

LHCb collaboration, R. Aaij, A. S. W. Abdelmotteleb +1189

A measurement of asymmetry in decays is reported, based on a data sample of proton-proton collisions collected with the LHCb detector in 20…

hep-ex2025★ 1 cited

A model-independent measurement of the CKM angle in the decays and ()

LHCb collaboration, R. Aaij, A. S. W. Abdelmotteleb +1164

A model-independent determination of the CKM angle is presented, using the and decays, with . This meas…

hep-ex2025★ 1 cited

Measurement of the branching fraction of the decay and isospin asymmetry of decays

LHCb collaboration, R. Aaij, A. S. W. Abdelmotteleb +1193

This paper describes a measurement of the branching fraction using data collected with the LHCb experiment in proton-proton collisions from 2016 to 2018. The datase…

hep-ex2025

Amplitude analysis of decays

LHCb collaboration, R. Aaij, A. S. W. Abdelmotteleb +1185

An amplitude analysis of the decays with is performed using a sample corresponding to an integrated luminosity of 9$\…