Imagen de Portada

Dependency-Aware CAV Task Scheduling via Diffusion-Based Reinforcement Learning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Cheng, Xiang, Mao, Zhi, Wang, Ying, Wu, Wen
Formato:	Preprint
Publicado:	2024
Materias:	Artificial Intelligence Robotics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

CAV-AHDV-CAV: Mitigating Traffic Oscillations for CAVs through a Novel Car-Following Structure and Reinforcement Learning
por: Chen, Xianda, et al.
Publicado: (2024)

COLSON: Controllable Learning-Based Social Navigation via Diffusion-Based Reinforcement Learning
por: Matsumoto, Kohei, et al.
Publicado: (2025)

Bidirectional Task-Motion Planning Based on Hierarchical Reinforcement Learning for Strategic Confrontation
por: Wu, Qizhen, et al.
Publicado: (2025)

Learning to Plan & Schedule with Reinforcement-Learned Bimanual Robot Skills
por: Wan, Weikang, et al.
Publicado: (2025)

Scaling Tasks, Not Samples: Mastering Humanoid Control through Multi-Task Model-Based Reinforcement Learning
por: Liu, Shaohuai, et al.
Publicado: (2026)

Task2Morph: Differentiable Task-inspired Framework for Contact-Aware Robot Design
por: Cai, Yishuai, et al.
Publicado: (2024)

Model-Based Reinforcement Learning with Multi-Task Offline Pretraining
por: Pan, Minting, et al.
Publicado: (2023)

Reinforcement Learning via Auxiliary Task Distillation
por: Harish, Abhinav Narayan, et al.
Publicado: (2024)

Reinforcement Learning Enabled Adaptive Multi-Task Control for Bipedal Soccer Robots
por: Zhang, Yulai, et al.
Publicado: (2026)

TeViR: Text-to-Video Reward with Diffusion Models for Efficient Reinforcement Learning
por: Chen, Yuhui, et al.
Publicado: (2025)

Scheduling Drone and Mobile Charger via Hybrid-Action Deep Reinforcement Learning
por: Dou, Jizhe, et al.
Publicado: (2024)

Hierarchical Consensus-Based Multi-Agent Reinforcement Learning for Multi-Robot Cooperation Tasks
por: Feng, Pu, et al.
Publicado: (2024)

Efficient Multi-Task Reinforcement Learning via Task-Specific Action Correction
por: Feng, Jinyuan, et al.
Publicado: (2024)

JPDS-NN: Reinforcement Learning-Based Dynamic Task Allocation for Agricultural Vehicle Routing Optimization
por: Fan, Yixuan, et al.
Publicado: (2025)

Automatic MILP Model Construction for Multi-Robot Task Allocation and Scheduling Based on Large Language Models
por: Peng, Mingming, et al.
Publicado: (2025)

Hybrid LLM-based Intelligent Framework for Robot Task Scheduling
por: Saha, Swayamjit, et al.
Publicado: (2026)

Offline Reinforcement Learning with Discrete Diffusion Skills
por: Qiao, RuiXi, et al.
Publicado: (2025)

asRoBallet: Closing the Sim2Real Gap via Friction-Aware Reinforcement Learning for Underactuated Spherical Dynamics
por: Wan, Fang, et al.
Publicado: (2026)

GBPP: Grasp-Aware Base Placement Prediction for Robots via Two-Stage Learning
por: Chen, Jizhuo, et al.
Publicado: (2025)

Sample-Efficient Reinforcement Learning with Temporal Logic Objectives: Leveraging the Task Specification to Guide Exploration
por: Kantaros, Yiannis, et al.
Publicado: (2024)

OminiAdapt: Learning Cross-Task Invariance for Robust and Environment-Aware Robotic Manipulation
por: Wang, Yongxu, et al.
Publicado: (2025)

Diffusion-Based Impedance Learning for Contact-Rich Manipulation Tasks
por: Geiger, Noah, et al.
Publicado: (2025)

Safety Aware Task Planning via Large Language Models in Robotics
por: Khan, Azal Ahmad, et al.
Publicado: (2025)

SA-VLA: Spatially-Aware Flow-Matching for Vision-Language-Action Reinforcement Learning
por: Pan, Xu, et al.
Publicado: (2026)

Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity
por: Xin, Jinghao, et al.
Publicado: (2023)

Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning
por: Luo, Jianlan, et al.
Publicado: (2024)

Curriculum-Based Multi-Tier Semantic Exploration via Deep Reinforcement Learning
por: Drid, Abdel Hakim, et al.
Publicado: (2025)

Reducing Risk for Assistive Reinforcement Learning Policies with Diffusion Models
por: Tytarenko, Andrii
Publicado: (2024)

Scalable Hierarchical Reinforcement Learning for Hyper Scale Multi-Robot Task Planning
por: Zhou, Xuan, et al.
Publicado: (2024)

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents
por: Cai, Shaofei, et al.
Publicado: (2025)

Task Allocation for Autonomous Machines using Computational Intelligence and Deep Reinforcement Learning
por: Nguyen, Thanh Thi, et al.
Publicado: (2025)

Projected Task-Specific Layers for Multi-Task Reinforcement Learning
por: Roberts, Josselin Somerville, et al.
Publicado: (2023)

ForeDiffusion: Foresight-Conditioned Diffusion Policy via Future View Construction for Robot Manipulation
por: Xie, Weize, et al.
Publicado: (2026)

SAGE: Scene Graph-Aware Guidance and Execution for Long-Horizon Manipulation Tasks
por: Li, Jialiang, et al.
Publicado: (2025)

Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning
por: Huang, Changxin, et al.
Publicado: (2025)

RRT*former: Environment-Aware Sampling-Based Motion Planning using Transformer
por: Feng, Mingyang, et al.
Publicado: (2025)

Motion Manifold Flow Primitives for Task-Conditioned Trajectory Generation under Complex Task-Motion Dependencies
por: Lee, Yonghyeon, et al.
Publicado: (2024)

Transformable Gaussian Reward Function for Socially-Aware Navigation with Deep Reinforcement Learning
por: Kim, Jinyeob, et al.
Publicado: (2024)

A Contact-Safe Reinforcement Learning Framework for Contact-Rich Robot Manipulation
por: Zhu, Xiang, et al.
Publicado: (2022)

End-to-End Crop Row Navigation via LiDAR-Based Deep Reinforcement Learning
por: Mineiro, Ana Luiza, et al.
Publicado: (2025)