Imagen de Portada

Multi-fidelity Reinforcement Learning Control for Complex Dynamical Systems

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Sun, Luning, Liu, Xin-Yang, Zhao, Siyan, Grover, Aditya, Wang, Jian-Xun, Thiagarajan, Jayaraman J.
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Probing the Decision Boundaries of In-context Learning in Large Language Models
por: Zhao, Siyan, et al.
Publicado: (2024)

Self-supervised and Multi-fidelity Learning for Extended Predictive Soil Spectroscopy
por: Sun, Luning, et al.
Publicado: (2025)

Group Preference Optimization: Few-Shot Alignment of Large Language Models
por: Zhao, Siyan, et al.
Publicado: (2023)

Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models
por: Zhao, Siyan, et al.
Publicado: (2024)

Multi-Scenario Combination Based on Multi-Agent Reinforcement Learning to Optimize the Advertising Recommendation System
por: Zhao, Yang, et al.
Publicado: (2024)

Privileged Sensing Scaffolds Reinforcement Learning
por: Hu, Edward S., et al.
Publicado: (2024)

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning
por: Zhao, Siyan, et al.
Publicado: (2025)

Deep Reinforcement Learning for Traffic Light Control in Intelligent Transportation Systems
por: Zhu, Ming, et al.
Publicado: (2023)

Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning
por: Liu, Xin, et al.
Publicado: (2024)

On Predictability of Reinforcement Learning Dynamics for Large Language Models
por: Cai, Yuchen, et al.
Publicado: (2025)

Adaptive Event-triggered Reinforcement Learning Control for Complex Nonlinear Systems
por: Siddique, Umer, et al.
Publicado: (2024)

Efficient Embedding-based Synthetic Data Generation for Complex Reasoning Tasks
por: Jayaraman, Srideepika, et al.
Publicado: (2026)

SED2AM: Solving Multi-Trip Time-Dependent Vehicle Routing Problem using Deep Reinforcement Learning
por: Mozhdehi, Arash, et al.
Publicado: (2025)

Offline Trajectory Optimization for Offline Reinforcement Learning
por: Zhao, Ziqi, et al.
Publicado: (2024)

On Distributional Reinforcement Learning in Chaotic Dynamical Systems
por: Rudd-Jones, James, et al.
Publicado: (2026)

Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models
por: Bansal, Hritik, et al.
Publicado: (2023)

Multi-granularity Knowledge Transfer for Continual Reinforcement Learning
por: Pan, Chaofan, et al.
Publicado: (2024)

A Survey of Constraint Formulations in Safe Reinforcement Learning
por: Wachi, Akifumi, et al.
Publicado: (2024)

Revisiting Reinforcement Learning with Verifiable Rewards from a Contrastive Perspective
por: Zhang, Feng, et al.
Publicado: (2026)

Sample Complexity of Distributionally Robust Off-Dynamics Reinforcement Learning with Online Interaction
por: He, Yiting, et al.
Publicado: (2025)

Knowledge-Guided Manipulation Using Multi-Task Reinforcement Learning
por: Narendra, Aditya, et al.
Publicado: (2026)

Test-driven Reinforcement Learning in Continuous Control
por: Yu, Zhao, et al.
Publicado: (2025)

Adventurer: Exploration with BiGAN for Deep Reinforcement Learning
por: Liu, Yongshuai, et al.
Publicado: (2025)

Visualizing Critic Match Loss Landscapes for Interpretation of Online Reinforcement Learning Control Algorithms
por: Liu, Jingyi, et al.
Publicado: (2026)

LICO: Large Language Models for In-Context Molecular Optimization
por: Nguyen, Tung, et al.
Publicado: (2024)

Structure in Deep Reinforcement Learning: A Survey and Open Problems
por: Mohan, Aditya, et al.
Publicado: (2023)

Multi-agent Reinforcement Learning for Dynamic Dispatching in Material Handling Systems
por: Lee, Xian Yeow, et al.
Publicado: (2024)

Networked Restless Multi-Arm Bandits with Reinforcement Learning
por: Zhang, Hanmo, et al.
Publicado: (2025)

Cross-domain Random Pre-training with Prototypes for Reinforcement Learning
por: Liu, Xin, et al.
Publicado: (2023)

Look Before Leap: Look-Ahead Planning with Uncertainty in Reinforcement Learning
por: Liu, Yongshuai, et al.
Publicado: (2025)

Real-World Reinforcement Learning of Active Perception Behaviors
por: Hu, Edward S., et al.
Publicado: (2025)

Dynamic Evidence Decoupling for Trusted Multi-view Learning
por: Liu, Ying, et al.
Publicado: (2024)

Provably Efficient Exploration in Inverse Constrained Reinforcement Learning
por: Yue, Bo, et al.
Publicado: (2024)

TimeRewarder: Learning Dense Reward from Passive Videos via Frame-wise Temporal Distance
por: Liu, Yuyang, et al.
Publicado: (2025)

Implicit Neural Differential Model for Spatiotemporal Dynamics
por: Akhare, Deepak, et al.
Publicado: (2025)

Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit Feedback
por: Xiong, Guojun, et al.
Publicado: (2024)

Hierarchical Multi-Agent Reinforcement Learning with Control Barrier Functions for Safety-Critical Autonomous Systems
por: Ahmad, H. M. Sabbir, et al.
Publicado: (2025)

Adaptive and Robust DBSCAN with Multi-agent Reinforcement Learning
por: Peng, Hao, et al.
Publicado: (2025)

On the Complexity of Offline Reinforcement Learning with $Q^\star$-Approximation and Partial Coverage
por: Liu, Haolin, et al.
Publicado: (2026)

Broad Critic Deep Actor Reinforcement Learning for Continuous Control
por: Thalagala, Shiron, et al.
Publicado: (2024)