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Improving Trajectory Stitching with Flow Models
v1v2 (latest)

Improving Trajectory Stitching with Flow Models

12 May 2025
Reece O'Mahoney
Wanming Yu
Ioannis Havoutis
ArXiv (abs)PDFHTML

Papers citing "Improving Trajectory Stitching with Flow Models"

24 / 24 papers shown
Title
Generative Trajectory Stitching through Diffusion Composition
Generative Trajectory Stitching through Diffusion Composition
Yunhao Luo
Utkarsh Aashu Mishra
Yilun Du
Danfei Xu
444
6
0
07 Mar 2025
Diffusion Model for Planning: A Systematic Literature Review
Diffusion Model for Planning: A Systematic Literature Review
Toshihide Ubukata
Jialong Li
Kenji Tei
DiffMMedIm
110
8
0
16 Aug 2024
Potential Based Diffusion Motion Planning
Potential Based Diffusion Motion Planning
Yunhao Luo
Chen Sun
Joshua B. Tenenbaum
Yilun Du
DiffM
86
19
0
08 Jul 2024
DiffuseLoco: Real-Time Legged Locomotion Control with Diffusion from
  Offline Datasets
DiffuseLoco: Real-Time Legged Locomotion Control with Diffusion from Offline Datasets
Xiaoyu Huang
Yufeng Chi
Ruofeng Wang
Zhongyu Li
Xue Bin Peng
Sophia Shao
Borivoje Nikolic
Koushil Sreenath
OffRL
124
31
0
30 Apr 2024
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Patrick Esser
Sumith Kulal
A. Blattmann
Rahim Entezari
Jonas Muller
...
Zion English
Kyle Lacey
Alex Goodwin
Yannik Marek
Robin Rombach
DiffM
284
1,364
0
05 Mar 2024
Stitching Sub-Trajectories with Conditional Diffusion Model for
  Goal-Conditioned Offline RL
Stitching Sub-Trajectories with Conditional Diffusion Model for Goal-Conditioned Offline RL
Sungyoon Kim
Yunseon Choi
Daiki E. Matsunaga
Kee-Eung Kim
OffRL
87
8
0
11 Feb 2024
DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based
  Trajectory Stitching
DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching
Guanghe Li
Yixiang Shan
Zhengbang Zhu
Ting Long
Weinan Zhang
OffRL
62
16
0
04 Feb 2024
Refining Diffusion Planner for Reliable Behavior Synthesis by Automatic
  Detection of Infeasible Plans
Refining Diffusion Planner for Reliable Behavior Synthesis by Automatic Detection of Infeasible Plans
Kyowoon Lee
Seongun Kim
Jaesik Choi
DiffM
61
11
0
30 Oct 2023
Motion Planning Diffusion: Learning and Planning of Robot Motions with
  Diffusion Models
Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models
João Carvalho
An T. Le
Mark Baierl
Dorothea Koert
Jan Peters
DiffM
71
115
0
03 Aug 2023
Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale
Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale
Matt Le
Apoorv Vyas
Bowen Shi
Brian Karrer
Leda Sari
...
Mary Williamson
Vimal Manohar
Yossi Adi
Jay Mahadeokar
Wei-Ning Hsu
AuLLM
99
300
0
23 Jun 2023
Diffusion Model is an Effective Planner and Data Synthesizer for
  Multi-Task Reinforcement Learning
Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning
Haoran He
Chenjia Bai
Kang Xu
Zhuoran Yang
Weinan Zhang
Dong Wang
Bingyan Zhao
Xuelong Li
DiffMOffRL
77
98
0
29 May 2023
Goal-Conditioned Imitation Learning using Score-based Diffusion Policies
Goal-Conditioned Imitation Learning using Score-based Diffusion Policies
Moritz Reuss
M. Li
Xiaogang Jia
Rudolf Lioutikov
DiffM
133
175
0
05 Apr 2023
Structure and Content-Guided Video Synthesis with Diffusion Models
Structure and Content-Guided Video Synthesis with Diffusion Models
Patrick Esser
Johnathan Chiu
Parmida Atighehchian
Jonathan Granskog
Anastasis Germanidis
DiffMVGen
167
536
0
06 Feb 2023
Imitating Human Behaviour with Diffusion Models
Imitating Human Behaviour with Diffusion Models
Tim Pearce
Tabish Rashid
Anssi Kanervisto
David Bignell
Mingfei Sun
...
Sergio Valcarcel Macua
Shan Zheng Tan
Ida Momennejad
Katja Hofmann
Sam Devlin
DiffM
94
221
0
25 Jan 2023
Model-based Trajectory Stitching for Improved Offline Reinforcement
  Learning
Model-based Trajectory Stitching for Improved Offline Reinforcement Learning
Charles A. Hepburn
Giovanni Montana
OffRL
79
14
0
21 Nov 2022
Reaching Through Latent Space: From Joint Statistics to Path Planning in
  Manipulation
Reaching Through Latent Space: From Joint Statistics to Path Planning in Manipulation
Chia-Man Hung
Shaohong Zhong
Walter Goodwin
Oiwi Parker Jones
Martin Engelcke
Ioannis Havoutis
Ingmar Posner
DRL
43
13
0
21 Oct 2022
Diffusion Policies as an Expressive Policy Class for Offline
  Reinforcement Learning
Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning
Zhendong Wang
Jonathan J. Hunt
Mingyuan Zhou
OffRL
98
383
0
12 Aug 2022
GLIDE: Towards Photorealistic Image Generation and Editing with
  Text-Guided Diffusion Models
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
Alex Nichol
Prafulla Dhariwal
Aditya A. Ramesh
Pranav Shyam
Pamela Mishkin
Bob McGrew
Ilya Sutskever
Mark Chen
364
3,605
0
20 Dec 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
241
7,933
0
11 May 2021
Score-Based Generative Modeling through Stochastic Differential
  Equations
Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song
Jascha Narain Sohl-Dickstein
Diederik P. Kingma
Abhishek Kumar
Stefano Ermon
Ben Poole
DiffMSyDa
344
6,551
0
26 Nov 2020
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
653
18,276
0
19 Jun 2020
Generative Modeling by Estimating Gradients of the Data Distribution
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song
Stefano Ermon
SyDaDiffM
258
3,954
0
12 Jul 2019
Domain Randomization for Transferring Deep Neural Networks from
  Simulation to the Real World
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
Joshua Tobin
Rachel Fong
Alex Ray
Jonas Schneider
Wojciech Zaremba
Pieter Abbeel
259
2,972
0
20 Mar 2017
Understanding the Effective Receptive Field in Deep Convolutional Neural
  Networks
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks
Wenjie Luo
Yujia Li
R. Urtasun
R. Zemel
HAI
102
1,799
0
15 Jan 2017
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