:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Lee, Dongsu, Lee, Daehee, Zhang, Amy
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Artificial Intelligence Robotics
Acceso en línea:	https://arxiv.org/abs/2511.05005
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A Recipe for Stable Offline Multi-agent Reinforcement Learning
por: Lee, Dongsu, et al.
Publicado: (2026)

Unifying Agent Interaction and World Information for Multi-agent Coordination
por: Lee, Dongsu, et al.
Publicado: (2025)

Temporal Distance-aware Transition Augmentation for Offline Model-based Reinforcement Learning
por: Lee, Dongsu, et al.
Publicado: (2025)

Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning
por: Lee, Dongsu, et al.
Publicado: (2024)

WarmPrior: Straightening Flow-Matching Policies with Temporal Priors
por: Kang, Sinjae, et al.
Publicado: (2026)

Flow Matching Ergodic Coverage
por: Sun, Max Muchen, et al.
Publicado: (2025)

Interaction-Merged Motion Planning: Effectively Leveraging Diverse Motion Datasets for Robust Planning
por: Lee, Giwon, et al.
Publicado: (2025)

Trust Region Q Adjoint Matching
por: Dong, Yonghoon, et al.
Publicado: (2026)

UniConFlow: A Unified Constrained Flow-Matching Framework for Certified Motion Planning
por: Yang, Zewen, et al.
Publicado: (2025)

DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing
por: Lee, Vint, et al.
Publicado: (2023)

AsyncVLA: Asynchronous Flow Matching for Vision-Language-Action Models
por: Jiang, Yuhua, et al.
Publicado: (2025)

Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning
por: Tang, Xin, et al.
Publicado: (2025)

Diffusion Models for Offline Multi-agent Reinforcement Learning with Safety Constraints
por: Huang, Jianuo
Publicado: (2024)

Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Coordination by Multi-Critic Policy Gradient Optimization
por: Alon, Yoav, et al.
Publicado: (2020)

Conditional Flow Matching for Continuous Anomaly Detection in Autonomous Driving on a Manifold-Aware Spectral Space
por: Guillen-Perez, Antonio
Publicado: (2026)

Reliable and Efficient Multi-Agent Coordination via Graph Neural Network Variational Autoencoders
por: Meng, Yue, et al.
Publicado: (2025)

MMP++: Motion Manifold Primitives with Parametric Curve Models
por: Lee, Yonghyeon
Publicado: (2023)

One-Shot Imitation Learning with Invariance Matching for Robotic Manipulation
por: Zhang, Xinyu, et al.
Publicado: (2024)

Deep Reinforcement Learning for Multi-Agent Coordination
por: Aina, Kehinde O., et al.
Publicado: (2025)

IMLE Policy: Fast and Sample Efficient Visuomotor Policy Learning via Implicit Maximum Likelihood Estimation
por: Rana, Krishan, et al.
Publicado: (2025)

AD4RL: Autonomous Driving Benchmarks for Offline Reinforcement Learning with Value-based Dataset
por: Lee, Dongsu, et al.
Publicado: (2024)

General agents contain world models
por: Richens, Jonathan, et al.
Publicado: (2025)

ReFORM: Reflected Flows for On-support Offline RL via Noise Manipulation
por: Zhang, Songyuan, et al.
Publicado: (2026)

Affordance-Guided Reinforcement Learning via Visual Prompting
por: Lee, Olivia Y., et al.
Publicado: (2024)

Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding
por: Tang, Huijie, et al.
Publicado: (2024)

Coordinated Humanoid Manipulation with Choice Policies
por: Qi, Haozhi, et al.
Publicado: (2025)

Q-learning with Adjoint Matching
por: Li, Qiyang, et al.
Publicado: (2026)

DEAS: DEtached value learning with Action Sequence for Scalable Offline RL
por: Kim, Changyeon, et al.
Publicado: (2025)

Compositional Coordination for Multi-Robot Teams with Large Language Models
por: Huang, Zhehui, et al.
Publicado: (2025)

Dual RL: Unification and New Methods for Reinforcement and Imitation Learning
por: Sikchi, Harshit, et al.
Publicado: (2023)

A Dual Approach to Imitation Learning from Observations with Offline Datasets
por: Sikchi, Harshit, et al.
Publicado: (2024)

Bidirectional Decoding: Improving Action Chunking via Guided Test-Time Sampling
por: Liu, Yuejiang, et al.
Publicado: (2024)

RoboGPT: an intelligent agent of making embodied long-term decisions for daily instruction tasks
por: Chen, Yaran, et al.
Publicado: (2023)

RLDX-1 Technical Report
por: Kim, Dongyoung, et al.
Publicado: (2026)

Vision based driving agent for race car simulation environments
por: Bári, Gergely, et al.
Publicado: (2025)

Learning-based Autonomous Oversteer Control and Collision Avoidance
por: Lee, Seokjun, et al.
Publicado: (2025)

Attention-Based Neural-Augmented Kalman Filter for Legged Robot State Estimation
por: Lee, Seokju, et al.
Publicado: (2026)

Data-Efficient Hierarchical Goal-Conditioned Reinforcement Learning via Normalizing Flows
por: Garg, Shaswat, et al.
Publicado: (2026)

Multi-Modal Manipulation via Multi-Modal Policy Consensus
por: Chen, Haonan, et al.
Publicado: (2025)

Evaluating and Improving Graph-based Explanation Methods for Multi-Agent Coordination
por: Kailas, Siva, et al.
Publicado: (2025)