Copertina

Unpacking the Individual Components of Diffusion Policy

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Yuan, Xiu
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Robotics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

GSL-PCD: Improving Generalist-Specialist Learning with Point Cloud Feature-based Task Partitioning
di: Yuan, Xiu
Pubblicazione: (2024)

Diffusion Policy Policy Optimization
di: Ren, Allen Z., et al.
Pubblicazione: (2024)

Policy Decorator: Model-Agnostic Online Refinement for Large Policy Model
di: Yuan, Xiu, et al.
Pubblicazione: (2024)

Equivariant Diffusion Policy
di: Wang, Dian, et al.
Pubblicazione: (2024)

One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation
di: Wang, Zhendong, et al.
Pubblicazione: (2024)

Diffusion Policy through Conditional Proximal Policy Optimization
di: Liu, Ben, et al.
Pubblicazione: (2026)

Dichotomous Diffusion Policy Optimization
di: Liang, Ruiming, et al.
Pubblicazione: (2025)

DADP: Domain Adaptive Diffusion Policy
di: Wang, Pengcheng, et al.
Pubblicazione: (2026)

Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning
di: Wang, Yixiao, et al.
Pubblicazione: (2024)

DemoDiffusion: One-Shot Human Imitation using pre-trained Diffusion Policy
di: Park, Sungjae, et al.
Pubblicazione: (2025)

FDPP: Fine-tune Diffusion Policy with Human Preference
di: Chen, Yuxin, et al.
Pubblicazione: (2025)

Encoding Predictability and Legibility for Style-Conditioned Diffusion Policy
di: Crétides, Adrien Jacquet, et al.
Pubblicazione: (2026)

Query-Centric Diffusion Policy for Generalizable Robotic Assembly
di: Xu, Ziyi, et al.
Pubblicazione: (2025)

Time-Unified Diffusion Policy with Action Discrimination for Robotic Manipulation
di: Niu, Ye, et al.
Pubblicazione: (2025)

Uncertainty Comes for Free: Human-in-the-Loop Policies with Diffusion Models
di: He, Zhanpeng, et al.
Pubblicazione: (2025)

From Code to Action: Hierarchical Learning of Diffusion-VLM Policies
di: Peschl, Markus, et al.
Pubblicazione: (2025)

Symmetry-Aware Steering of Equivariant Diffusion Policies: Benefits and Limits
di: Park, Minwoo, et al.
Pubblicazione: (2025)

Steering Your Diffusion Policy with Latent Space Reinforcement Learning
di: Wagenmaker, Andrew, et al.
Pubblicazione: (2025)

Real-Time Operator Takeover for Visuomotor Diffusion Policy Training
di: Moletta, Marco, et al.
Pubblicazione: (2025)

Training-Free Imitation Learning with Closed-Form Diffusion Policies
di: Mishra, Raghav, et al.
Pubblicazione: (2026)

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

Continual Driving Policy Optimization with Closed-Loop Individualized Curricula
di: Niu, Haoyi, et al.
Pubblicazione: (2023)

Policy-Guided Diffusion
di: Jackson, Matthew Thomas, et al.
Pubblicazione: (2024)

Contractive Diffusion Policies: Robust Action Diffusion via Contractive Score-Based Sampling with Differential Equations
di: Abyaneh, Amin, et al.
Pubblicazione: (2026)

Mini Diffuser: Fast Multi-task Diffusion Policy Training Using Two-level Mini-batches
di: Hu, Yutong, et al.
Pubblicazione: (2025)

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning
di: Reuss, Moritz, et al.
Pubblicazione: (2024)

STITCH-OPE: Trajectory Stitching with Guided Diffusion for Off-Policy Evaluation
di: Goli, Hossein, et al.
Pubblicazione: (2025)

Diffusion Policy with Bayesian Expert Selection for Active Multi-Target Tracking
di: Xiang, Haotian, et al.
Pubblicazione: (2026)

Compose Your Policies! Improving Diffusion-based or Flow-based Robot Policies via Test-time Distribution-level Composition
di: Cao, Jiahang, et al.
Pubblicazione: (2025)

The Role of Domain Randomization in Training Diffusion Policies for Whole-Body Humanoid Control
di: Kaidanov, Oleg, et al.
Pubblicazione: (2024)

Delay-Aware Diffusion Policy: Bridging the Observation-Execution Gap in Dynamic Tasks
di: Liao, Aileen, et al.
Pubblicazione: (2025)

Retrieve-Augmented Generation for Speeding up Diffusion Policy without Additional Training
di: Odonchimed, Sodtavilan, et al.
Pubblicazione: (2025)

Push Smarter, Not Harder: Hierarchical RL-Diffusion Policy for Efficient Nonprehensile Manipulation
di: Caro, Steven, et al.
Pubblicazione: (2025)

Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic Manipulation
di: Lv, Qi, et al.
Pubblicazione: (2025)

When to Act, Ask, or Learn: Uncertainty-Aware Policy Steering
di: Yuan, Jessie, et al.
Pubblicazione: (2026)

EquiBot: SIM(3)-Equivariant Diffusion Policy for Generalizable and Data Efficient Learning
di: Yang, Jingyun, et al.
Pubblicazione: (2024)

RoDiF: Robust Direct Fine-Tuning of Diffusion Policies with Corrupted Human Feedback
di: Vatsa, Amitesh, et al.
Pubblicazione: (2026)

Enhancing Sample Efficiency and Exploration in Reinforcement Learning through the Integration of Diffusion Models and Proximal Policy Optimization
di: Gao, Tianci, et al.
Pubblicazione: (2024)

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

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