RAIN: Reinforcement Algorithms for Improving Numerical Weather and Climate Models

28 August 2024

Papers citing "RAIN: Reinforcement Algorithms for Improving Numerical Weather and Climate Models"

20 / 20 papers shown

Title
DiffObs: Generative Diffusion for Global Forecasting of Satellite Observations Jason Stock Jaideep Pathak Y. Cohen Michael S. Pritchard Piyush Garg Dale Durran Morteza Mardani Noah D. Brenowitz 63 5 0 04 Apr 2024
GenCast: Diffusion-based ensemble forecasting for medium-range weather Ilan Price Alvaro Sanchez-Gonzalez Ferran Alet Tom R. Andersson Andrew El-Kadi ... Jacklynn Stott Shakir Mohamed Peter W. Battaglia Rémi R. Lam Matthew Willson 93 120 0 25 Dec 2023
Forecasting Tropical Cyclones with Cascaded Diffusion Models Pritthijit Nath Pancham Shukla Shuai Wang César Quilodrán-Casas DiffM 40 8 0 02 Oct 2023
AtmoRep: A stochastic model of atmosphere dynamics using large scale representation learning C. Lessig Ilaria Luise Bing Gong M. Langguth S. Stadtler Martin G. Schultz 26 29 0 25 Aug 2023
FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead Kan Chen Tao Han Junchao Gong Lei Bai Fenghua Ling ... Rui Su Yuanzheng Ci Bin Li Xiaokang Yang Wanli Ouyang AI4Cl AI4CE 180 183 0 06 Apr 2023
Learning Physical Models that Can Respect Conservation Laws Derek Hansen Danielle C. Maddix S. Alizadeh Gaurav Gupta Michael W. Mahoney AI4CE 74 47 0 21 Feb 2023
ClimaX: A foundation model for weather and climate Tung Nguyen Johannes Brandstetter Ashish Kapoor Jayesh K. Gupta Aditya Grover AI4Cl AI4CE 69 261 0 24 Jan 2023
FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators Jaideep Pathak Shashank Subramanian P. Harrington S. Raja Ashesh Chattopadhyay ... Zong-Yi Li Kamyar Azizzadenesheli Pedram Hassanzadeh K. Kashinath Anima Anandkumar AI4Cl 235 693 0 22 Feb 2022
Forecasting Global Weather with Graph Neural Networks R. Keisler AI4Cl 109 170 0 15 Feb 2022
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics Arsenii Kuznetsov Pavel Shvechikov Alexander Grishin Dmitry Vetrov 230 193 0 08 May 2020
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems J. Willard X. Jia Shaoming Xu M. Steinbach Vipin Kumar AI4CE 129 403 0 10 Mar 2020
Optuna: A Next-generation Hyperparameter Optimization Framework Takuya Akiba Shotaro Sano Toshihiko Yanase Takeru Ohta Masanori Koyama 663 5,808 0 25 Jul 2019
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 175 5,187 0 26 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 311 8,352 0 04 Jan 2018
Ray: A Distributed Framework for Emerging AI Applications Philipp Moritz Robert Nishihara Stephanie Wang Alexey Tumanov Richard Liaw ... Melih Elibol Zongheng Yang William Paul Michael I. Jordan Ion Stoica GNN 102 1,258 0 16 Dec 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 499 19,065 0 20 Jul 2017
Theory-guided Data Science: A New Paradigm for Scientific Discovery from Data Anuj Karpatne G. Atluri James H. Faghmous M. Steinbach A. Banerjee A. Ganguly Shashi Shekhar N. Samatova Vipin Kumar AI4CE 59 985 0 27 Dec 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 320 13,248 0 09 Sep 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 277 6,776 0 19 Feb 2015
The JASMIN super-data-cluster B. Lawrence V. Bennett J. Churchill M. Juckes P. Kershaw P. Oliver M. Pritchard A. Stephens 44 17 0 16 Apr 2012