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2211.15657
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Is Conditional Generative Modeling all you need for Decision-Making?
28 November 2022
Anurag Ajay
Yilun Du
Abhi Gupta
J. Tenenbaum
Tommi Jaakkola
Pulkit Agrawal
DiffM
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Papers citing
"Is Conditional Generative Modeling all you need for Decision-Making?"
50 / 283 papers shown
Title
Guided Flows for Generative Modeling and Decision Making
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Matt Le
Neta Shaul
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Aditya Grover
Ricky T. Q. Chen
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0
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Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model
Kai Yang
Jian Tao
Jiafei Lyu
Chunjiang Ge
Jiaxin Chen
Qimai Li
Weihan Shen
Xiaolong Zhu
Xiu Li
EGVM
16
87
0
22 Nov 2023
Imitation Bootstrapped Reinforcement Learning
Hengyuan Hu
Suvir Mirchandani
Dorsa Sadigh
25
24
0
03 Nov 2023
Constrained-Context Conditional Diffusion Models for Imitation Learning
Vaibhav Saxena
Yotto Koga
Danfei Xu
20
3
0
02 Nov 2023
Diffusion Models for Reinforcement Learning: A Survey
Zhengbang Zhu
Hanye Zhao
Haoran He
Yichao Zhong
Shenyu Zhang
Haoquan Guo
Tingting Chen
Weinan Zhang
27
58
0
02 Nov 2023
A Tractable Inference Perspective of Offline RL
Xuejie Liu
Anji Liu
Guy Van den Broeck
Yitao Liang
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34
1
0
31 Oct 2023
Refining Diffusion Planner for Reliable Behavior Synthesis by Automatic Detection of Infeasible Plans
Kyowoon Lee
Seongun Kim
Jaesik Choi
DiffM
6
8
0
30 Oct 2023
Musical Form Generation
Lilac Atassi
8
0
0
30 Oct 2023
Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning
Zhaoyi Zhou
Chuning Zhu
Runlong Zhou
Qiwen Cui
Abhishek Gupta
S. S. Du
OffRL
20
8
0
30 Oct 2023
Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Models
Kevin Black
Mitsuhiko Nakamoto
P. Atreya
Homer Walke
Chelsea Finn
Aviral Kumar
Sergey Levine
DiffM
LM&Ro
24
130
0
16 Oct 2023
Adaptive Online Replanning with Diffusion Models
Siyuan Zhou
Yilun Du
Shun Zhang
Mengdi Xu
Yikang Shen
Wei Xiao
Dit-Yan Yeung
Chuang Gan
11
22
0
14 Oct 2023
Generative Skill Chaining: Long-Horizon Skill Planning with Diffusion Models
Utkarsh Aashu Mishra
Shangjie Xue
Yongxin Chen
Danfei Xu
LRM
23
64
0
13 Oct 2023
Score Regularized Policy Optimization through Diffusion Behavior
Huayu Chen
Cheng Lu
Zhengyi Wang
Hang Su
Jun Zhu
16
20
0
11 Oct 2023
Boosting Continuous Control with Consistency Policy
Yuhui Chen
Haoran Li
Dongbin Zhao
OffRL
27
18
0
10 Oct 2023
DiffCPS: Diffusion Model based Constrained Policy Search for Offline Reinforcement Learning
Longxiang He
Li Shen
Linrui Zhang
Junbo Tan
Xueqian Wang
OffRL
20
8
0
09 Oct 2023
Aligning Text-to-Image Diffusion Models with Reward Backpropagation
Mihir Prabhudesai
Anirudh Goyal
Deepak Pathak
Katerina Fragkiadaki
19
108
0
05 Oct 2023
Decision ConvFormer: Local Filtering in MetaFormer is Sufficient for Decision Making
Jeonghye Kim
Suyoung Lee
Woojun Kim
Young-Jin Sung
OffRL
20
16
0
04 Oct 2023
Learning to Reach Goals via Diffusion
V. Jain
Siamak Ravanbakhsh
DiffM
OffRL
22
3
0
04 Oct 2023
AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model
Zibin Dong
Yifu Yuan
Jianye Hao
Fei Ni
Yao Mu
Yan Zheng
Yujing Hu
Tangjie Lv
Changjie Fan
Zhipeng Hu
34
29
0
03 Oct 2023
Efficient Planning with Latent Diffusion
Wenhao Li
DiffM
38
4
0
30 Sep 2023
Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning
Daoce Wang
Chi Jin
OffRL
DiffM
12
25
0
29 Sep 2023
Generating Personalized Insulin Treatments Strategies with Deep Conditional Generative Time Series Models
Manuel Schürch
Xiang Li
Ahmed Allam
Giulia Rathmes
Amina Mollaysa
Claudia Cavelti-Weder
Michael Krauthammer
AI4TS
12
4
0
28 Sep 2023
DriveSceneGen: Generating Diverse and Realistic Driving Scenarios from Scratch
Shuo Sun
Zekai Gu
Tianchen Sun
Jiawei Sun
Chengran Yuan
Yuhang Han
Dongen Li
Marcelo H ANG Jr
14
13
0
26 Sep 2023
Lifelong Robot Learning with Human Assisted Language Planners
Meenal Parakh
Alisha Fong
Anthony Simeonov
Tao Chen
Abhishek Gupta
Pulkit Agrawal
LM&Ro
28
13
0
25 Sep 2023
EDMP: Ensemble-of-costs-guided Diffusion for Motion Planning
Kallol Saha
V. Mandadi
Jayaram Reddy
Ajit Srikanth
Aditya Agarwal
Bipasha Sen
Arun Singh
Madhava Krishna
DiffM
9
25
0
20 Sep 2023
Reasoning with Latent Diffusion in Offline Reinforcement Learning
S. Venkatraman
Shivesh Khaitan
Ravi Tej Akella
John M. Dolan
Jeff Schneider
Glen Berseth
OffRL
14
22
0
12 Sep 2023
GraspGF: Learning Score-based Grasping Primitive for Human-assisting Dexterous Grasping
Tianhao Wu
Mingdong Wu
Jiyao Zhang
Yunchong Gan
Hao Dong
36
20
0
12 Sep 2023
Revisiting Energy Based Models as Policies: Ranking Noise Contrastive Estimation and Interpolating Energy Models
Sumeet Singh
Stephen Tu
Vikas Sindhwani
DiffM
15
8
0
11 Sep 2023
Diffusion-EDFs: Bi-equivariant Denoising Generative Modeling on SE(3) for Visual Robotic Manipulation
Hyunwoo Ryu
Jiwoo Kim
Hyun Seok Ahn
Junwoo Chang
Joohwan Seo
Taehan Kim
Yubin Kim
Chaewon Hwang
Jongeun Choi
R. Horowitz
DiffM
16
33
0
06 Sep 2023
Diffusion Generative Inverse Design
Marin Vlastelica
Tatiana López-Guevara
Kelsey R. Allen
Peter Battaglia
Arnaud Doucet
Kimberley L. Stachenfeld
DiffM
13
1
0
05 Sep 2023
Integrating LLMs and Decision Transformers for Language Grounded Generative Quality-Diversity
Achkan Salehi
Stéphane Doncieux
16
0
0
25 Aug 2023
Skill Transformer: A Monolithic Policy for Mobile Manipulation
Xiaoyu Huang
Dhruv Batra
Akshara Rai
Andrew Szot
LM&Ro
12
21
0
19 Aug 2023
Amortized Global Search for Efficient Preliminary Trajectory Design with Deep Generative Models
Anjian Li
Amlan Sinha
Ryne T. Beeson
14
5
0
07 Aug 2023
Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models
João Carvalho
An T. Le
Mark Baierl
Dorothea Koert
Jan Peters
DiffM
13
98
0
03 Aug 2023
Provable Guarantees for Generative Behavior Cloning: Bridging Low-Level Stability and High-Level Behavior
Adam Block
Ali Jadbabaie
Daniel Pfrommer
Max Simchowitz
Russ Tedrake
DiffM
20
22
0
27 Jul 2023
Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement
Hui Yuan
Kaixuan Huang
Chengzhuo Ni
Minshuo Chen
Mengdi Wang
DiffM
8
34
0
13 Jul 2023
Shelving, Stacking, Hanging: Relational Pose Diffusion for Multi-modal Rearrangement
Anthony Simeonov
Ankit Goyal
Lucas Manuelli
Lin Yen-Chen
Alina Sarmiento
Alberto Rodriguez
Pulkit Agrawal
D. Fox
DiffM
34
38
0
10 Jul 2023
Goal-Conditioned Predictive Coding for Offline Reinforcement Learning
Zilai Zeng
Ce Zhang
Shijie Wang
Chen Sun
OffRL
27
5
0
07 Jul 2023
Elastic Decision Transformer
Yueh-hua Wu
Xiaolong Wang
Masashi Hamaya
OffRL
14
38
0
05 Jul 2023
Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning
Xiang Li
Varun Belagali
Jinghuan Shang
Michael S. Ryoo
24
28
0
04 Jul 2023
Beyond Conservatism: Diffusion Policies in Offline Multi-agent Reinforcement Learning
Zhuoran Li
Ling Pan
Longbo Huang
DiffM
OffRL
13
7
0
04 Jul 2023
Learning non-Markovian Decision-Making from State-only Sequences
Aoyang Qin
Feng Gao
Qing Li
Song-Chun Zhu
Sirui Xie
20
9
0
27 Jun 2023
CEIL: Generalized Contextual Imitation Learning
Jinxin Liu
Li He
Yachen Kang
Zifeng Zhuang
Donglin Wang
Huazhe Xu
15
18
0
26 Jun 2023
Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching
H. Suh
Glen Chou
Hongkai Dai
Lujie Yang
Abhishek Gupta
Russ Tedrake
DiffM
OffRL
13
7
0
24 Jun 2023
DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability
Xiaolin Fang
Caelan Reed Garrett
Clemens Eppner
Tomás Lozano-Pérez
L. Kaelbling
D. Fox
DiffM
23
17
0
22 Jun 2023
LAGOON: Language-Guided Motion Control
Shusheng Xu
Huaijie Wang
Jiaxuan Gao
Yutao Ouyang
Chao Yu
Yi Wu
LM&Ro
13
1
0
18 Jun 2023
Language-Guided Traffic Simulation via Scene-Level Diffusion
Ziyuan Zhong
Davis Rempe
Yuxiao Chen
B. Ivanovic
Yulong Cao
Danfei Xu
Marco Pavone
Baishakhi Ray
DiffM
15
77
0
10 Jun 2023
Decision Stacks: Flexible Reinforcement Learning via Modular Generative Models
Siyan Zhao
Aditya Grover
OffRL
6
7
0
09 Jun 2023
Value function estimation using conditional diffusion models for control
Bogdan Mazoure
Walter A. Talbott
Miguel Angel Bautista
R. Devon Hjelm
Alexander Toshev
J. Susskind
DiffM
10
4
0
09 Jun 2023
Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning
Jifeng Hu
Yan Sun
Sili Huang
Siyuan Guo
Hechang Chen
Li Shen
Lichao Sun
Yi-Ju Chang
Dacheng Tao
DiffM
OffRL
26
13
0
08 Jun 2023
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