Guardado en:
| Autores principales: | Liu, Jiayin, Yang, Yulong, Bansal, Vineet, Allen-Blanchette, Christine |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2509.23003 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Frequency-Separable Hamiltonian Neural Network for Multi-Timescale Dynamics
por: Li, Yaojun, et al.
Publicado: (2026)
por: Li, Yaojun, et al.
Publicado: (2026)
Physics-Driven Data Generation for Contact-Rich Manipulation via Trajectory Optimization
por: Yang, Lujie, et al.
Publicado: (2025)
por: Yang, Lujie, et al.
Publicado: (2025)
Hereditary Geometric Meta-RL: Nonlocal Generalization via Task Symmetries
por: Nitschke, Paul, et al.
Publicado: (2026)
por: Nitschke, Paul, et al.
Publicado: (2026)
LC-Opt: Benchmarking Reinforcement Learning and Agentic AI for End-to-End Liquid Cooling Optimization in Data Centers
por: Naug, Avisek, et al.
Publicado: (2025)
por: Naug, Avisek, et al.
Publicado: (2025)
HONEST-CAV: Hierarchical Optimization of Network Signals and Trajectories for Connected and Automated Vehicles with Multi-Agent Reinforcement Learning
por: Zhang, Ziyan, et al.
Publicado: (2026)
por: Zhang, Ziyan, et al.
Publicado: (2026)
Hierarchical Multi-Agent Framework for Carbon-Efficient Liquid-Cooled Data Center Clusters
por: Sarkar, Soumyendu, et al.
Publicado: (2025)
por: Sarkar, Soumyendu, et al.
Publicado: (2025)
Verification of Neural Reachable Tubes via Scenario Optimization and Conformal Prediction
por: Lin, Albert, et al.
Publicado: (2023)
por: Lin, Albert, et al.
Publicado: (2023)
One Filter to Deploy Them All: Robust Safety for Quadrupedal Navigation in Unknown Environments
por: Lin, Albert, et al.
Publicado: (2024)
por: Lin, Albert, et al.
Publicado: (2024)
DCcluster-Opt: Benchmarking Dynamic Multi-Objective Optimization for Geo-Distributed Data Center Workloads
por: Guillen-Perez, Antonio, et al.
Publicado: (2025)
por: Guillen-Perez, Antonio, et al.
Publicado: (2025)
PowerModelsGAT-AI: Physics-Informed Graph Attention for Multi-System Power Flow with Continual Learning
por: Ezeakunne, Chidozie, et al.
Publicado: (2026)
por: Ezeakunne, Chidozie, et al.
Publicado: (2026)
Representation Learning Enhanced Deep Reinforcement Learning for Optimal Operation of Hydrogen-based Multi-Energy Systems
por: Pu, Zhenyu, et al.
Publicado: (2026)
por: Pu, Zhenyu, et al.
Publicado: (2026)
Function Approximation for Reinforcement Learning Controller for Energy from Spread Waves
por: Sarkar, Soumyendu, et al.
Publicado: (2024)
por: Sarkar, Soumyendu, et al.
Publicado: (2024)
Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System
por: Zhang, Ruining, et al.
Publicado: (2023)
por: Zhang, Ruining, et al.
Publicado: (2023)
A Configurable Pythonic Data Center Model for Sustainable Cooling and ML Integration
por: Naug, Avisek, et al.
Publicado: (2024)
por: Naug, Avisek, et al.
Publicado: (2024)
Zero-Shot Trajectory Planning for Signal Temporal Logic Tasks
por: Liu, Ruijia, et al.
Publicado: (2025)
por: Liu, Ruijia, et al.
Publicado: (2025)
PREFER: Personalized Review Summarization with Online Preference Learning
por: Roy, Millend, et al.
Publicado: (2026)
por: Roy, Millend, et al.
Publicado: (2026)
Improving accuracy and convergence of federated learning edge computing methods for generalized DER forecasting applications in power grid
por: Nair, Vineet Jagadeesan, et al.
Publicado: (2024)
por: Nair, Vineet Jagadeesan, et al.
Publicado: (2024)
Carbon Footprint Reduction for Sustainable Data Centers in Real-Time
por: Sarkar, Soumyendu, et al.
Publicado: (2024)
por: Sarkar, Soumyendu, et al.
Publicado: (2024)
Generative AI and Process Systems Engineering: The Next Frontier
por: Decardi-Nelson, Benjamin, et al.
Publicado: (2024)
por: Decardi-Nelson, Benjamin, et al.
Publicado: (2024)
Analytical Lyapunov Function Discovery: An RL-based Generative Approach
por: Zou, Haohan, et al.
Publicado: (2025)
por: Zou, Haohan, et al.
Publicado: (2025)
Hierarchical Testing with Rabbit Optimization for Industrial Cyber-Physical Systems
por: Hu, Jinwei, et al.
Publicado: (2025)
por: Hu, Jinwei, et al.
Publicado: (2025)
Sample-Efficient Diffusion-based Control of Complex Physics Systems
por: Chen, Hongyi, et al.
Publicado: (2025)
por: Chen, Hongyi, et al.
Publicado: (2025)
SustainDC: Benchmarking for Sustainable Data Center Control
por: Naug, Avisek, et al.
Publicado: (2024)
por: Naug, Avisek, et al.
Publicado: (2024)
An Efficient Reachability-Based Framework for Provably Safe Autonomous Navigation in Unknown Environments
por: Bajcsy, Andrea, et al.
Publicado: (2019)
por: Bajcsy, Andrea, et al.
Publicado: (2019)
Generative Modeling and Data Augmentation for Power System Production Simulation
por: Xu, Linna, et al.
Publicado: (2024)
por: Xu, Linna, et al.
Publicado: (2024)
SOLIS: Physics-Informed Learning of Interpretable Neural Surrogates for Nonlinear Systems
por: Mansur, Murat Furkan, et al.
Publicado: (2026)
por: Mansur, Murat Furkan, et al.
Publicado: (2026)
Combining Physics-based and Data-driven Modeling for Building Energy Systems
por: Von Krannichfeldt, Leandro, et al.
Publicado: (2024)
por: Von Krannichfeldt, Leandro, et al.
Publicado: (2024)
Learning Plasma Dynamics and Robust Rampdown Trajectories with Predict-First Experiments at TCV
por: Wang, Allen M., et al.
Publicado: (2025)
por: Wang, Allen M., et al.
Publicado: (2025)
World Models as Reference Trajectories for Rapid Motor Adaptation
por: Brito, Carlos Stein, et al.
Publicado: (2025)
por: Brito, Carlos Stein, et al.
Publicado: (2025)
On the Generalization of Data-Assisted Control in port-Hamiltonian Systems (DAC-pH)
por: Eslami, Mostafa, et al.
Publicado: (2025)
por: Eslami, Mostafa, et al.
Publicado: (2025)
Towards Developing Safety Assurance Cases for Learning-Enabled Medical Cyber-Physical Systems
por: Bagheri, Maryam, et al.
Publicado: (2022)
por: Bagheri, Maryam, et al.
Publicado: (2022)
Exploiting Symmetry in Dynamics for Model-Based Reinforcement Learning with Asymmetric Rewards
por: Sonmez, Yasin, et al.
Publicado: (2024)
por: Sonmez, Yasin, et al.
Publicado: (2024)
Towards Machine Learning-based Model Predictive Control for HVAC Control in Multi-Context Buildings at Scale via Ensemble Learning
por: Deng, Yang, et al.
Publicado: (2025)
por: Deng, Yang, et al.
Publicado: (2025)
Physics-Informed State Space Models for Reliable Solar Irradiance Forecasting in Off-Grid Systems
por: Abdullah, Mohammed Ezzaldin Babiker
Publicado: (2026)
por: Abdullah, Mohammed Ezzaldin Babiker
Publicado: (2026)
Benchmarking Reinforcement Learning via Stochastic Converse Optimality: Generating Systems with Known Optimal Policies
por: Ibrahim, Sinan, et al.
Publicado: (2026)
por: Ibrahim, Sinan, et al.
Publicado: (2026)
An LLM-Based Digital Twin for Optimizing Human-in-the Loop Systems
por: Yang, Hanqing, et al.
Publicado: (2024)
por: Yang, Hanqing, et al.
Publicado: (2024)
Multi-Year Maintenance Planning for Large-Scale Infrastructure Systems: A Novel Network Deep Q-Learning Approach
por: Fard, Amir, et al.
Publicado: (2025)
por: Fard, Amir, et al.
Publicado: (2025)
Fleet Rebalancing for Expanding Shared e-Mobility Systems: A Multi-agent Deep Reinforcement Learning Approach
por: Luo, Man, et al.
Publicado: (2022)
por: Luo, Man, et al.
Publicado: (2022)
Multivariate Physics-Informed Convolutional Autoencoder for Anomaly Detection in Power Distribution Systems with High Penetration of DERs
por: Zideh, Mehdi Jabbari, et al.
Publicado: (2024)
por: Zideh, Mehdi Jabbari, et al.
Publicado: (2024)
Multi-residual Mixture of Experts Learning for Cooperative Control in Multi-vehicle Systems
por: Jayawardana, Vindula, et al.
Publicado: (2025)
por: Jayawardana, Vindula, et al.
Publicado: (2025)
Ejemplares similares
-
Frequency-Separable Hamiltonian Neural Network for Multi-Timescale Dynamics
por: Li, Yaojun, et al.
Publicado: (2026) -
Physics-Driven Data Generation for Contact-Rich Manipulation via Trajectory Optimization
por: Yang, Lujie, et al.
Publicado: (2025) -
Hereditary Geometric Meta-RL: Nonlocal Generalization via Task Symmetries
por: Nitschke, Paul, et al.
Publicado: (2026) -
LC-Opt: Benchmarking Reinforcement Learning and Agentic AI for End-to-End Liquid Cooling Optimization in Data Centers
por: Naug, Avisek, et al.
Publicado: (2025) -
HONEST-CAV: Hierarchical Optimization of Network Signals and Trajectories for Connected and Automated Vehicles with Multi-Agent Reinforcement Learning
por: Zhang, Ziyan, et al.
Publicado: (2026)