Structural Design Through Reinforcement Learning
Fuente:
arXiv
Guardado en:
| Autores principales: | Rochefort-Beaudoin, Thomas, Vadean, Aurelian, Aage, Niels, Achiche, Sofiane |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
From Density to Geometry: YOLOv8 Instance Segmentation for Reverse Engineering of Optimized Structures
por: Rochefort-Beaudoin, Thomas, et al.
Publicado: (2024)
por: Rochefort-Beaudoin, Thomas, et al.
Publicado: (2024)
Implicit Time-Marching for Lagrange Multiplier Formulation for Couple Stress Elastodynamics
por: Ortiz-Ocampo, José, et al.
Publicado: (2025)
por: Ortiz-Ocampo, José, et al.
Publicado: (2025)
Spatio-temporal, multi-field deep learning of shock propagation in meso-structured media
por: Fernández-Godino, M. Giselle, et al.
Publicado: (2025)
por: Fernández-Godino, M. Giselle, et al.
Publicado: (2025)
PTL-PINNs: Perturbation-Guided Transfer Learning with Physics- Informed Neural Networks for Nonlinear Systems
por: Alexandrino, Duarte, et al.
Publicado: (2026)
por: Alexandrino, Duarte, et al.
Publicado: (2026)
Assessing Long-Term Electricity Market Design for Ambitious Decarbonization Targets using Multi-Agent Reinforcement Learning
por: Gonzalez-Ruiz, Javier, et al.
Publicado: (2025)
por: Gonzalez-Ruiz, Javier, et al.
Publicado: (2025)
A Comparison Between Decision Transformers and Traditional Offline Reinforcement Learning Algorithms
por: Caunhye, Ali Murtaza, et al.
Publicado: (2025)
por: Caunhye, Ali Murtaza, et al.
Publicado: (2025)
Synthetic data for ratemaking: imputation-based methods vs adversarial networks and autoencoders
por: Havrylenko, Yevhen, et al.
Publicado: (2025)
por: Havrylenko, Yevhen, et al.
Publicado: (2025)
Thermodynamic Regulation of Finite-Time Gibbs Training in Energy-Based Models: A Restricted Boltzmann Machine Study
por: Süleymanoğlu, Görkem Can
Publicado: (2026)
por: Süleymanoğlu, Görkem Can
Publicado: (2026)
Maternal and Fetal Health Status Assessment by Using Machine Learning on Optical 3D Body Scans
por: Cheng, Ruting, et al.
Publicado: (2025)
por: Cheng, Ruting, et al.
Publicado: (2025)
From Black Box to Bijection: Interpreting Machine Learning to Build a Zeta Map Algorithm
por: Huang, Xiaoyu, et al.
Publicado: (2025)
por: Huang, Xiaoyu, et al.
Publicado: (2025)
HELIOS -- Hybrid Evaluation of Lifecycle and Impact of Outstanding Science v-2.0
por: Garbayo, Eduardo
Publicado: (2025)
por: Garbayo, Eduardo
Publicado: (2025)
Machine Learning Surrogate Modeling for Homogenization of Hyperelastic Materials with Boolean Microstructures
por: Brändel, Matthias, et al.
Publicado: (2026)
por: Brändel, Matthias, et al.
Publicado: (2026)
Softly Constrained Denoisers for Diffusion Models Applied to Partial Differential Equations
por: Yeom-Song, Victor M., et al.
Publicado: (2025)
por: Yeom-Song, Victor M., et al.
Publicado: (2025)
From Imitation to Interaction: Mastering Game of Schnapsen with Shallow Reinforcement Learning
por: Klačan, Ján, et al.
Publicado: (2026)
por: Klačan, Ján, et al.
Publicado: (2026)
Bias in Surface Electromyography Features across a Demographically Diverse Cohort
por: Agrawal, Aditi, et al.
Publicado: (2026)
por: Agrawal, Aditi, et al.
Publicado: (2026)
Predicting Drug-Drug Interactions Using Heterogeneous Graph Neural Networks: HGNN-DDI
por: Liu, Hongbo, et al.
Publicado: (2025)
por: Liu, Hongbo, et al.
Publicado: (2025)
Benchmarking Generative AI Against Bayesian Optimization for Constrained Multi-Objective Inverse Design
por: Awan, Muhammad Bilal, et al.
Publicado: (2025)
por: Awan, Muhammad Bilal, et al.
Publicado: (2025)
Prompt-to-prescription: towards generative design of diffraction-limited refractive optics
por: Maman, Roy, et al.
Publicado: (2026)
por: Maman, Roy, et al.
Publicado: (2026)
AiGAS-dEVL-RC: An Adaptive Growing Neural Gas Model for Recurrently Drifting Unsupervised Data Streams
por: Arostegi, Maria, et al.
Publicado: (2025)
por: Arostegi, Maria, et al.
Publicado: (2025)
Safe Distributed Control of Multi-Robot Systems with Communication Delays
por: Ballotta, Luca, et al.
Publicado: (2024)
por: Ballotta, Luca, et al.
Publicado: (2024)
Self-Supervised On-Policy Reinforcement Learning via Contrastive Proximal Policy Optimisation
por: Osman, Asim, et al.
Publicado: (2026)
por: Osman, Asim, et al.
Publicado: (2026)
Drift is a Sampling Error: SNR-Aware Power Distributions for Long-Horizon Robotic Planning
por: Chen, Kewei, et al.
Publicado: (2026)
por: Chen, Kewei, et al.
Publicado: (2026)
Best-in-class modeling: A novel strategy to discover constitutive models for soft matter systems
por: Linka, Kevin, et al.
Publicado: (2024)
por: Linka, Kevin, et al.
Publicado: (2024)
Enhancing Transparency and Traceability in Healthcare AI: The AI Product Passport
por: Sinaci, A. Anil, et al.
Publicado: (2025)
por: Sinaci, A. Anil, et al.
Publicado: (2025)
From 'What-is' to 'What-if' in Human-Factor Analysis: A Post-Occupancy Evaluation Case
por: Chen, Xia, et al.
Publicado: (2025)
por: Chen, Xia, et al.
Publicado: (2025)
Time Series Predictions in Unmonitored Sites: A Survey of Machine Learning Techniques in Water Resources
por: Willard, Jared D., et al.
Publicado: (2023)
por: Willard, Jared D., et al.
Publicado: (2023)
Proof-Carrying Materials: Falsifiable Safety Certificates for Machine-Learned Interatomic Potentials
por: Basu, Abhinaba, et al.
Publicado: (2026)
por: Basu, Abhinaba, et al.
Publicado: (2026)
An investigation into the scientific landscape of the conversational and generative artificial intelligence, and human-chatbot interaction in education and research
por: Akpan, Ikpe Justice, et al.
Publicado: (2024)
por: Akpan, Ikpe Justice, et al.
Publicado: (2024)
Think Thrice Before You Speak: Dual knowledge-enhanced Theory-of-Mind Reasoning for Persuasive Agents
por: Ma, Minghui, et al.
Publicado: (2026)
por: Ma, Minghui, et al.
Publicado: (2026)
Autonomous Oil Spill Response Through Liquid Neural Trajectory Modeling and Coordinated Marine Robotics
por: Kuzmenko, Hadas C., et al.
Publicado: (2025)
por: Kuzmenko, Hadas C., et al.
Publicado: (2025)
Machine Learning Mutation-Acyclicity of Quivers
por: Armstrong-Williams, Kymani T. K., et al.
Publicado: (2024)
por: Armstrong-Williams, Kymani T. K., et al.
Publicado: (2024)
Learning the P2D Model for Lithium-Ion Batteries with SOH Detection
por: McKay, Maricela Best, et al.
Publicado: (2025)
por: McKay, Maricela Best, et al.
Publicado: (2025)
Towards Robust Surrogate Models: Benchmarking Machine Learning Approaches to Expediting Phase Field Simulations of Brittle Fracture
por: Hamdi, Erfan, et al.
Publicado: (2025)
por: Hamdi, Erfan, et al.
Publicado: (2025)
Modeling supply chain compliance response strategies based on AI synthetic data with structural path regression: A Simulation Study of EU 2027 Mandatory Labor Regulations
por: Meng, Wei
Publicado: (2025)
por: Meng, Wei
Publicado: (2025)
Diagnosing Heteroskedasticity and Resolving Multicollinearity Paradoxes in Physicochemical Property Prediction
por: Malikussaid, et al.
Publicado: (2025)
por: Malikussaid, et al.
Publicado: (2025)
Modeling Vehicle-Type-Specific Pedestrian Crash Avoidance Behavior in Safety-Critical Interactions Using Smooth-Mamba Deep Reinforcement Learning
por: Pu, Qingwen, et al.
Publicado: (2026)
por: Pu, Qingwen, et al.
Publicado: (2026)
Robust Noise Attenuation via Adaptive Pooling of Transformer Outputs
por: Brothers, Greyson
Publicado: (2025)
por: Brothers, Greyson
Publicado: (2025)
Modularity in Transformers: Investigating Neuron Separability & Specialization
por: Pochinkov, Nicholas, et al.
Publicado: (2024)
por: Pochinkov, Nicholas, et al.
Publicado: (2024)
Neuro-Symbolic Process Anomaly Detection
por: Gaikwad, Devashish, et al.
Publicado: (2026)
por: Gaikwad, Devashish, et al.
Publicado: (2026)
VALID-Mol: a Systematic Framework for Validated LLM-Assisted Molecular Design
por: Malikussaid, et al.
Publicado: (2025)
por: Malikussaid, et al.
Publicado: (2025)
Ejemplares similares
-
From Density to Geometry: YOLOv8 Instance Segmentation for Reverse Engineering of Optimized Structures
por: Rochefort-Beaudoin, Thomas, et al.
Publicado: (2024) -
Implicit Time-Marching for Lagrange Multiplier Formulation for Couple Stress Elastodynamics
por: Ortiz-Ocampo, José, et al.
Publicado: (2025) -
Spatio-temporal, multi-field deep learning of shock propagation in meso-structured media
por: Fernández-Godino, M. Giselle, et al.
Publicado: (2025) -
PTL-PINNs: Perturbation-Guided Transfer Learning with Physics- Informed Neural Networks for Nonlinear Systems
por: Alexandrino, Duarte, et al.
Publicado: (2026) -
Assessing Long-Term Electricity Market Design for Ambitious Decarbonization Targets using Multi-Agent Reinforcement Learning
por: Gonzalez-Ruiz, Javier, et al.
Publicado: (2025)