Published January 30, 2023 | Version v1

Dataset for "Deep reinforcement learning for the olfactory search POMDP: a quantitative benchmark"

  • 1. Aix Marseille Univ, CNRS, Centrale Marseille, IRPHE, Marseille, France
  • 2. Dept. Physics and INFN, University of Rome ``Tor Vergata'', Via della Ricerca Scientifica 1, 00133 Rome, Italy

Description

Dataset containing the results shown in Fig. 6 of "Deep reinforcement learning for the olfactory search POMDP: a quantitative benchmark".

Files

results.csv

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Additional details

Funding

European Commission
Smart-TURB - A Physics-Informed Machine-Learning Platform for Smart Lagrangian Harness and Control of TURBulence 882340
European Commission
C0PEP0D - Life and death of a virtual copepod in turbulence 834238