Imagen de Portada

Dragonfly: a modular deep reinforcement learning library

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Viquerat, Jonathan, Garnier, Paul, Bateni, Amirhossein, Hachem, Elie
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Beacon, a lightweight deep reinforcement learning benchmark library for flow control
por: Viquerat, Jonathan, et al.
Publicado: (2024)

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

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

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

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

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

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

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

Mesh Based Simulations with Spatial and Temporal awareness
por: Garnier, Paul, et al.
Publicado: (2026)

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

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

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

A modular framework for automated evaluation of procedural content generation in serious games with deep reinforcement learning agents
por: Kalafatis, Eleftherios, et al.
Publicado: (2025)

Generalized Bayesian deep reinforcement learning
por: Roy, Shreya Sinha, et al.
Publicado: (2024)

Insect-inspired modular architectures as inductive biases for reinforcement learning
por: Staples, Anne E.
Publicado: (2026)

A deep reinforcement learning platform for antibiotic discovery
por: Cao, Hanqun, et al.
Publicado: (2025)

Applications of deep reinforcement learning to urban transit network design
por: Holliday, Andrew
Publicado: (2025)

Adaptive trajectory-constrained exploration strategy for deep reinforcement learning
por: Wang, Guojian, et al.
Publicado: (2023)

PyCFRL: A Python library for counterfactually fair offline reinforcement learning via sequential data preprocessing
por: Zhang, Jianhan, et al.
Publicado: (2025)

Hybrid Spiking Neural Network -- Transformer Video Classification Model
por: Bateni, Aaron
Publicado: (2024)

Predicting Grain Growth in Polycrystalline Materials Using Deep Learning Time Series Models
por: Younes, Eliane, et al.
Publicado: (2025)

Measure gradients, not activations! Enhancing neuronal activity in deep reinforcement learning
por: Liu, Jiashun, et al.
Publicado: (2025)

Dealing with uncertainty: balancing exploration and exploitation in deep recurrent reinforcement learning
por: Zangirolami, Valentina, et al.
Publicado: (2023)

Design a security firewall policy to filter incoming traffic in packet switched networks using classification methods
por: Shirin Bateni
Publicado: (2016)

Economic span selection of bridge based on deep reinforcement learning
por: Zhang, Leye, et al.
Publicado: (2024)

Capacity-constrained demand response in smart grids using deep reinforcement learning
por: Pashaki, Shafagh Abband, et al.
Publicado: (2026)

Interpreting and generalizing deep learning in physics-based problems with functional linear models
por: Arzani, Amirhossein, et al.
Publicado: (2023)

Controlling dynamics of stochastic systems with deep reinforcement learning
por: Mukhamadiarov, Ruslan
Publicado: (2025)

DomainLab: A modular Python package for domain generalization in deep learning
por: Sun, Xudong, et al.
Publicado: (2024)

An efficient deep reinforcement learning environment for flexible job-shop scheduling
por: Wu, Xinquan, et al.
Publicado: (2025)

Discovering autonomous quantum error correction via deep reinforcement learning
por: Yin, Yue, et al.
Publicado: (2025)

On the consistency of hyper-parameter selection in value-based deep reinforcement learning
por: Obando-Ceron, Johan, et al.
Publicado: (2024)

Bridging visual saliency and large language models for explainable deep learning in medical imaging
por: Nguezet, Paul Valery, et al.
Publicado: (2026)

In value-based deep reinforcement learning, a pruned network is a good network
por: Obando-Ceron, Johan, et al.
Publicado: (2024)

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints
por: Ramos, David, et al.
Publicado: (2025)

BioNeMo Framework: a modular, high-performance library for AI model development in drug discovery
por: John, Peter St., et al.
Publicado: (2024)

Designing a double deep reinforcement learning selection tool for resilient demand prediction
por: Benziane, Bilel Abderrahmane, et al.
Publicado: (2026)

Semi-Supervised Learning for Bilingual Lexicon Induction
por: Garnier, Paul, et al.
Publicado: (2024)

An approach of deep reinforcement learning for maximizing the net present value of stochastic projects
por: Xu, Wei, et al.
Publicado: (2025)

torchmil: A PyTorch-based library for deep Multiple Instance Learning
por: Castro-Macías, Francisco M., et al.
Publicado: (2025)