:: Library Catalog

Saved in:

Bibliographic Details
Main Authors:	Viquerat, Jonathan, Meliga, Philippe, Jeken, Pablo, Hachem, Elie
Format:	Preprint
Published:	2024
Subjects:	Computational Physics Machine Learning Systems and Control
Online Access:	https://arxiv.org/abs/2402.17402
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Dragonfly: a modular deep reinforcement learning library
by: Viquerat, Jonathan, et al.
Published: (2025)

Automated discovery of finite volume schemes using Graph Neural Networks
by: Garnier, Paul, et al.
Published: (2025)

Multi-Grid Graph Neural Networks with Self-Attention for Computational Mechanics
by: Garnier, Paul, et al.
Published: (2024)

A modular framework for stabilizing deep reinforcement learning control
by: Lawrence, Nathan P., et al.
Published: (2023)

TRELLIS-Enhanced Surface Features for Comprehensive Intracranial Aneurysm Analysis
by: Hervé, Clément, et al.
Published: (2025)

Graph Deep Learning for Intracranial Aneurysm Blood Flow Simulation and Risk Assessment
by: Garnier, Paul, et al.
Published: (2025)

A review on Deep Reinforcement Learning for Fluid Mechanics
by: Garnier, Paul, et al.
Published: (2019)

Autonomous vehicle decision and control through reinforcement learning with traffic flow randomization
by: Lin, Yuan, et al.
Published: (2024)

Load constrained wind farm flow control through multi-objective multi-agent reinforcement learning
by: Åstrand, Teodor, et al.
Published: (2026)

Training Transformers for Mesh-Based Simulations
by: Garnier, Paul, et al.
Published: (2025)

GreenLight-Gym: Reinforcement learning benchmark environment for control of greenhouse production systems
by: van Laatum, Bart, et al.
Published: (2024)

MeshMask: Physics-Based Simulations with Masked Graph Neural Networks
by: Garnier, Paul, et al.
Published: (2025)

Computationally efficient Gauss-Newton reinforcement learning for model predictive control
by: Brandner, Dean, et al.
Published: (2025)

Natural-gas storage modelling by deep reinforcement learning
by: Balaconi, Tiziano, et al.
Published: (2025)

Learning a local trading strategy: deep reinforcement learning for grid-scale renewable energy integration
by: Ju, Caleb, et al.
Published: (2024)

Interpretable reinforcement learning for heat pump control through asymmetric differentiable decision trees
by: Van Puyvelde, Toon, et al.
Published: (2025)

Distill2Explain: Differentiable decision trees for explainable reinforcement learning in energy application controllers
by: Gokhale, Gargya, et al.
Published: (2024)

Multi-agent deep reinforcement learning with centralized training and decentralized execution for transportation infrastructure management
by: Saifullah, M., et al.
Published: (2024)

How to craft a deep reinforcement learning policy for wind farm flow control
by: Kadoche, Elie, et al.
Published: (2025)

Data-assimilated model-informed reinforcement learning
by: Ozan, Defne E., et al.
Published: (2025)

Scalable spectral representations for multi-agent reinforcement learning in network MDPs
by: Ren, Zhaolin, et al.
Published: (2024)

Falsification-driven reinforcement learning for maritime motion planning
by: Müller, Marlon, et al.
Published: (2025)

Stabilizing reinforcement learning control: A modular framework for optimizing over all stable behavior
by: Lawrence, Nathan P., et al.
Published: (2023)

Exploiting inter-agent coupling information for efficient reinforcement learning of cooperative LQR
by: Syed, Shahbaz P Qadri, et al.
Published: (2025)

Aerobatic maneuvers in insect-scale flapping-wing aerial robots via deep-learned robust tube model predictive control
by: Hsiao, Yi-Hsuan, et al.
Published: (2025)

MPCritic: A plug-and-play MPC architecture for reinforcement learning
by: Lawrence, Nathan P., et al.
Published: (2025)

Deep reinforcement learning-based spacecraft attitude control with pointing keep-out constraint
by: Yang, Juntang, et al.
Published: (2025)

Real-world validation of safe reinforcement learning, model predictive control and decision tree-based home energy management systems
by: Ruddick, Julian, et al.
Published: (2024)

A dual mode adaptive basal-bolus advisor based on reinforcement learning
by: Sun, Qingnan, et al.
Published: (2019)

Curriculum Learning for Mesh-based simulations
by: Garnier, Paul, et al.
Published: (2025)

Independent policy gradient-based reinforcement learning for economic and reliable energy management of multi-microgrid systems
by: Hu, Junkai, et al.
Published: (2025)

A Continuum Approach With Adaptive Mesh Refinement for Platelet Plug Formation
by: Ugo Pelissier, et al.
Published: (2025)

Beyond expected value: geometric mean optimization for long-term policy performance in reinforcement learning
by: Sheng, Xinyi, et al.
Published: (2025)

Contingency-constrained economic dispatch with safe reinforcement learning
by: Eichelbeck, Michael, et al.
Published: (2022)

Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control
by: Zhong, Yaofeng Desmond, et al.
Published: (2019)

Friction on Demand: A Generative Framework for the Inverse Design of Metainterfaces
by: Mouton, Valentin, et al.
Published: (2025)

Learning Enhanced Ensemble Filters
by: Bach, Eviatar, et al.
Published: (2025)

Inverse Modeling of Dielectric Response in Time Domain using Physics-Informed Neural Networks
by: Esenov, Emir, et al.
Published: (2025)

Fast Bayesian equipment condition monitoring via simulation based inference: applications to heat exchanger health
by: Collett, Peter, et al.
Published: (2026)

Taming "data-hungry" reinforcement learning? Stability in continuous state-action spaces
by: Duan, Yaqi, et al.
Published: (2024)