Papers

• Seasonal Station-Keeping of Short Duration High Altitude Balloons using Deep Reinforcement Learning (2025)
  Tristan K. Schuler et al.
  2.65
• Replacing Tunable Parameters in Weather and Climate Models with State-Dependent Functions using Reinforcement Learning (2026)
  Pritthijit Nath et al.
  1.67
• FedRAIN-Lite: Federated Reinforcement Algorithms for Improving Idealised Numerical Weather and Climate Models (2025)
  Pritthijit Nath et al.
  1.39
• Reinforcement Learning (RL) Meets Urban Climate Modeling: Investigating the Efficacy and Impacts of RL-Based HVAC Control (2025)
  Junjie Yu et al.
  1.22
• Extreme Event Prediction with Multi-agent Reinforcement Learning-based Parametrization of Atmospheric and Oceanic Turbulence (2023)
  Rambod Mojgani and Daniel Waelchli and Yifei Guan and Petros Koumoutsakos and Pedram Hassanzadeh
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• Data Assimilation in Chaotic Systems Using Deep Reinforcement Learning (2024)
  Mohamad Abed El Rahman Hammoud and Naila Raboudi and Edriss S. Titi and Omar Knio and Ibrahim Hoteit
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• Using reinforcement learning to improve drone-based inference of greenhouse gas fluxes (2024)
  Alouette van Hove et al.
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• RAIN: Reinforcement Algorithms for Improving Numerical Weather and Climate Models (2024)
  Pritthijit Nath et al.
  —