Cover Image

Streaming Diffusion Policy: Fast Policy Synthesis with Variable Noise Diffusion Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Høeg, Sigmund H., Du, Yilun, Egeland, Olav
Format:	Preprint
Published:	2024
Subjects:	Robotics Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hybrid Diffusion for Simultaneous Symbolic and Continuous Planning
by: Høeg, Sigmund Hennum, et al.
Published: (2025)

Flexible Multitask Learning with Factorized Diffusion Policy
by: Liu, Chaoqi, et al.
Published: (2025)

Flexible Locomotion Learning with Diffusion Model Predictive Control
by: Huang, Runhan, et al.
Published: (2025)

Reactive Diffusion Policy: Slow-Fast Visual-Tactile Policy Learning for Contact-Rich Manipulation
by: Xue, Han, et al.
Published: (2025)

Model-Based Diffusion Sampling for Predictive Control in Offline Decision Making
by: Balim, Haldun, et al.
Published: (2025)

Policy-Guided Diffusion
by: Jackson, Matthew Thomas, et al.
Published: (2024)

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

Feedback World Model Enables Precise Guidance of Diffusion Policy
by: An, Tuo, et al.
Published: (2026)

AdaWorldPolicy: World-Model-Driven Diffusion Policy with Online Adaptive Learning for Robotic Manipulation
by: Yuan, Ge, et al.
Published: (2026)

Real-Time Iteration Scheme for Diffusion Policy
by: Duan, Yufei, et al.
Published: (2025)

Plan First, Diffuse Later: Extrinsic Graph Guidance for Long-Horizon Diffusion Planning
by: Hassidof, Yaniv, et al.
Published: (2026)

CCDP: Composition of Conditional Diffusion Policies with Guided Sampling
by: Razmjoo, Amirreza, et al.
Published: (2025)

Block-wise Adaptive Caching for Accelerating Diffusion Policy
by: Ji, Kangye, et al.
Published: (2025)

Discrete Contrastive Learning for Diffusion Policies in Autonomous Driving
by: Kujanpää, Kalle, et al.
Published: (2025)

Guided Streaming Stochastic Interpolant Policy
by: Jiang, Puming, et al.
Published: (2026)

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

Composing Diffusion Policies for Few-shot Learning of Movement Trajectories
by: Patil, Omkar, et al.
Published: (2024)

Learning Coordinated Bimanual Manipulation Policies using State Diffusion and Inverse Dynamics Models
by: Chen, Haonan, et al.
Published: (2025)

Generative Trajectory Stitching through Diffusion Composition
by: Luo, Yunhao, et al.
Published: (2025)

From Noise to Control: Parameterized Diffusion Policies
by: Zhang, Renhao, et al.
Published: (2026)

X-Diffusion: Training Diffusion Policies on Cross-Embodiment Human Demonstrations
by: Pace, Maximus A., et al.
Published: (2025)

ImplicitRDP: An End-to-End Visual-Force Diffusion Policy with Structural Slow-Fast Learning
by: Chen, Wendi, et al.
Published: (2025)

One-Step Flow Policy: Self-Distillation for Fast Visuomotor Policies
by: Li, Shaolong, et al.
Published: (2026)

Learning Diffusion Policies from Demonstrations For Compliant Contact-rich Manipulation
by: Aburub, Malek, et al.
Published: (2024)

Conditioning Matters: Training Diffusion Policies is Faster Than You Think
by: Dong, Zibin, et al.
Published: (2025)

World4RL: Diffusion World Models for Policy Refinement with Reinforcement Learning for Robotic Manipulation
by: Jiang, Zhennan, et al.
Published: (2025)

Variational Distillation of Diffusion Policies into Mixture of Experts
by: Zhou, Hongyi, et al.
Published: (2024)

Adaptive Diffusion Policy Optimization for Robotic Manipulation
by: Jiang, Huiyun, et al.
Published: (2025)

Versatile Navigation under Partial Observability via Value-guided Diffusion Policy
by: Zhang, Gengyu, et al.
Published: (2024)

Theoretical Closed-loop Stability Bounds for Dynamical System Coupled with Diffusion Policies
by: Lauzier, Gabriel, et al.
Published: (2025)

ProgressVLA: Progress-Guided Diffusion Policy for Vision-Language Robotic Manipulation
by: Yan, Hongyu, et al.
Published: (2026)

Imagine-2-Drive: Leveraging High-Fidelity World Models via Multi-Modal Diffusion Policies
by: Garg, Anant, et al.
Published: (2024)

ManiCM: Real-time 3D Diffusion Policy via Consistency Model for Robotic Manipulation
by: Lu, Guanxing, et al.
Published: (2024)

Robust Policy Learning via Offline Skill Diffusion
by: Kim, Woo Kyung, et al.
Published: (2024)

WARPD: World model Assisted Reactive Policy Diffusion
by: Hegde, Shashank, et al.
Published: (2024)

SDP: Spiking Diffusion Policy for Robotic Manipulation with Learnable Channel-Wise Membrane Thresholds
by: Hou, Zhixing, et al.
Published: (2024)

AnchDrive: Bootstrapping Diffusion Policies with Hybrid Trajectory Anchors for End-to-End Driving
by: Chai, Jinhao, et al.
Published: (2025)

Empirical Analysis of Sim-and-Real Cotraining of Diffusion Policies for Planar Pushing from Pixels
by: Wei, Adam, et al.
Published: (2025)

CAPE: Context-Aware Diffusion Policy Via Proximal Mode Expansion for Collision Avoidance
by: Yang, Rui Heng, et al.
Published: (2025)

Using Ensemble Diffusion to Estimate Uncertainty for End-to-End Autonomous Driving
by: Wintel, Florian, et al.
Published: (2025)