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Off-dynamics Conditional Diffusion Planners

Off-dynamics Conditional Diffusion Planners

16 October 2024
Wen Zheng Terence Ng
Jianda Chen
Tianwei Zhang
    DiffMOffRL
ArXiv (abs)PDFHTML

Papers citing "Off-dynamics Conditional Diffusion Planners"

37 / 37 papers shown
Title
MADiff: Offline Multi-agent Learning with Diffusion Models
MADiff: Offline Multi-agent Learning with Diffusion Models
Zhengbang Zhu
Minghuan Liu
Liyuan Mao
Bingyi Kang
Minkai Xu
Yong Yu
Stefano Ermon
Weinan Zhang
DiffMOffRL
154
40
0
03 Jan 2025
Leveraging Optimal Transport for Enhanced Offline Reinforcement Learning
  in Surgical Robotic Environments
Leveraging Optimal Transport for Enhanced Offline Reinforcement Learning in Surgical Robotic Environments
Maryam Zare
P. Kebria
Abbas Khosravi
OffRL
51
3
0
13 Oct 2023
MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL
MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL
Fei Ni
Jianye Hao
Yao Mu
Yifu Yuan
Yan Zheng
Bin Wang
Zhixuan Liang
DiffMOffRL
90
48
0
31 May 2023
Diffusion Policy: Visuomotor Policy Learning via Action Diffusion
Diffusion Policy: Visuomotor Policy Learning via Action Diffusion
Cheng Chi
Zhenjia Xu
S. Feng
Eric A. Cousineau
Yilun Du
Benjamin Burchfiel
Russ Tedrake
Shuran Song
347
1,189
0
07 Mar 2023
Adding Conditional Control to Text-to-Image Diffusion Models
Adding Conditional Control to Text-to-Image Diffusion Models
Lvmin Zhang
Anyi Rao
Maneesh Agrawala
AI4CE
173
4,146
1
10 Feb 2023
AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners
AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners
Zhixuan Liang
Yao Mu
Mingyu Ding
Fei Ni
Masayoshi Tomizuka
Ping Luo
120
107
0
03 Feb 2023
Is Conditional Generative Modeling all you need for Decision-Making?
Is Conditional Generative Modeling all you need for Decision-Making?
Anurag Ajay
Yilun Du
Abhi Gupta
J. Tenenbaum
Tommi Jaakkola
Pulkit Agrawal
DiffM
135
394
0
28 Nov 2022
Classifier-Free Diffusion Guidance
Classifier-Free Diffusion Guidance
Jonathan Ho
Tim Salimans
FaML
193
3,898
0
26 Jul 2022
When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online
  Reinforcement Learning
When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning
Haoyi Niu
Shubham Sharma
Yiwen Qiu
Ming Li
Guyue Zhou
Jianming Hu
Xianyuan Zhan
OffRLOnRL
95
51
0
27 Jun 2022
Video Diffusion Models
Video Diffusion Models
Jonathan Ho
Tim Salimans
Alexey A. Gritsenko
William Chan
Mohammad Norouzi
David J. Fleet
DiffMVGen
204
1,626
0
07 Apr 2022
DARA: Dynamics-Aware Reward Augmentation in Offline Reinforcement
  Learning
DARA: Dynamics-Aware Reward Augmentation in Offline Reinforcement Learning
Jinxin Liu
Hongyin Zhang
Donglin Wang
OffRL
78
37
0
13 Mar 2022
GeoDiff: a Geometric Diffusion Model for Molecular Conformation
  Generation
GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation
Minkai Xu
Lantao Yu
Yang Song
Chence Shi
Stefano Ermon
Jian Tang
BDLDiffM
160
516
0
06 Mar 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
Andreas Lugmayr
Martin Danelljan
Andrés Romero
Feng Yu
Radu Timofte
Luc Van Gool
DiffM
352
1,418
0
24 Jan 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
Offline Reinforcement Learning with Implicit Q-Learning
Offline Reinforcement Learning with Implicit Q-Learning
Ilya Kostrikov
Ashvin Nair
Sergey Levine
OffRL
296
922
0
12 Oct 2021
Offline Reinforcement Learning as One Big Sequence Modeling Problem
Offline Reinforcement Learning as One Big Sequence Modeling Problem
Michael Janner
Qiyang Li
Sergey Levine
OffRL
153
684
0
03 Jun 2021
Cascaded Diffusion Models for High Fidelity Image Generation
Cascaded Diffusion Models for High Fidelity Image Generation
Jonathan Ho
Chitwan Saharia
William Chan
David J. Fleet
Mohammad Norouzi
Tim Salimans
164
1,235
0
30 May 2021
Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech
Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech
Vadim Popov
Ivan Vovk
Vladimir Gogoryan
Tasnima Sadekova
Mikhail Kudinov
DiffM
104
537
0
13 May 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
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning
Rongjun Qin
Songyi Gao
Xingyuan Zhang
Zhen Xu
Shengkai Huang
Zewen Li
Weinan Zhang
Yang Yu
OffRL
191
83
0
01 Feb 2021
SimGAN: Hybrid Simulator Identification for Domain Adaptation via
  Adversarial Reinforcement Learning
SimGAN: Hybrid Simulator Identification for Domain Adaptation via Adversarial Reinforcement Learning
Yifeng Jiang
Tingnan Zhang
Daniel Ho
Yunfei Bai
Chenxi Liu
Sergey Levine
Jie Tan
GAN
81
56
0
15 Jan 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
347
6,551
0
26 Nov 2020
DiffWave: A Versatile Diffusion Model for Audio Synthesis
DiffWave: A Versatile Diffusion Model for Audio Synthesis
Zhifeng Kong
Ming-Yu Liu
Jiaji Huang
Kexin Zhao
Bryan Catanzaro
DiffMBDL
155
1,466
0
21 Sep 2020
Reinforced Grounded Action Transformation for Sim-to-Real Transfer
Reinforced Grounded Action Transformation for Sim-to-Real Transfer
Haresh Karnan
Siddharth Desai
Josiah P. Hanna
Garrett A. Warnell
Peter Stone
41
24
0
04 Aug 2020
Off-Dynamics Reinforcement Learning: Training for Transfer with Domain
  Classifiers
Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers
Benjamin Eysenbach
Swapnil Asawa
Shreyas Chaudhari
Sergey Levine
Ruslan Salakhutdinov
72
94
0
24 Jun 2020
Conservative Q-Learning for Offline Reinforcement Learning
Conservative Q-Learning for Offline Reinforcement Learning
Aviral Kumar
Aurick Zhou
George Tucker
Sergey Levine
OffRLOnRL
140
1,824
0
08 Jun 2020
D4RL: Datasets for Deep Data-Driven Reinforcement Learning
D4RL: Datasets for Deep Data-Driven Reinforcement Learning
Justin Fu
Aviral Kumar
Ofir Nachum
George Tucker
Sergey Levine
GPOffRL
226
1,377
0
15 Apr 2020
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
445
20,298
0
23 Oct 2019
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction
Aviral Kumar
Justin Fu
George Tucker
Sergey Levine
OffRLOnRL
132
1,066
0
03 Jun 2019
Off-Policy Deep Reinforcement Learning without Exploration
Off-Policy Deep Reinforcement Learning without Exploration
Scott Fujimoto
David Meger
Doina Precup
OffRLBDL
234
1,624
0
07 Dec 2018
A Survey on Deep Transfer Learning
A Survey on Deep Transfer Learning
Chuanqi Tan
F. Sun
Tao Kong
Wenchang Zhang
Chao Yang
Chunfang Liu
68
2,591
0
06 Aug 2018
Learning to Drive in a Day
Learning to Drive in a Day
Alex Kendall
Jeffrey Hawke
David Janz
Przemyslaw Mazur
Daniele Reda
John M. Allen
Vinh-Dieu Lam
Alex Bewley
Amar Shah
102
657
0
01 Jul 2018
End-to-end Driving via Conditional Imitation Learning
End-to-end Driving via Conditional Imitation Learning
Felipe Codevilla
Matthias Muller
Antonio M. López
V. Koltun
Alexey Dosovitskiy
131
1,066
0
06 Oct 2017
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
224
9,558
0
31 Mar 2017
Generative Adversarial Imitation Learning
Generative Adversarial Imitation Learning
Jonathan Ho
Stefano Ermon
GAN
156
3,119
0
10 Jun 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.8K
77,341
0
18 May 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
SyDaDiffM
306
7,005
0
12 Mar 2015
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