ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2211.15657
  4. Cited By
Is Conditional Generative Modeling all you need for Decision-Making?

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
ArXivPDFHTML

Papers citing "Is Conditional Generative Modeling all you need for Decision-Making?"

50 / 286 papers shown
Title
Adaptive Planning with Generative Models under Uncertainty
Adaptive Planning with Generative Models under Uncertainty
Pascal Jutras-Dubé
Ruqi Zhang
Aniket Bera
36
2
0
02 Aug 2024
Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement
  Learning
Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning
Liyuan Mao
Haoran Xu
Weinan Zhang
Xianyuan Zhan
Amy Zhang
OffRL
41
5
0
29 Jul 2024
From Imitation to Refinement -- Residual RL for Precise Visual Assembly
From Imitation to Refinement -- Residual RL for Precise Visual Assembly
Lars Ankile
Anthony Simeonov
Idan Shenfeld
M. Torné
Pulkit Agrawal
OffRL
42
7
0
23 Jul 2024
Diffusion Models as Optimizers for Efficient Planning in Offline RL
Diffusion Models as Optimizers for Efficient Planning in Offline RL
Renming Huang
Yunqiang Pei
Guoqing Wang
Yangming Zhang
Yang Yang
Peng Wang
H. Shen
OffRL
36
0
0
23 Jul 2024
MaxMI: A Maximal Mutual Information Criterion for Manipulation Concept
  Discovery
MaxMI: A Maximal Mutual Information Criterion for Manipulation Concept Discovery
Pei Zhou
Yanchao Yang
43
1
0
21 Jul 2024
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement
  Learning
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning
Yi-Fan Yao
Zhepeng Cen
Wenhao Ding
Hao-ming Lin
Shiqi Liu
Tingnan Zhang
Wenhao Yu
Ding Zhao
OffRL
OnRL
51
1
0
19 Jul 2024
Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion
  Models: A Tutorial and Review
Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Review
Masatoshi Uehara
Yulai Zhao
Tommaso Biancalani
Sergey Levine
66
22
0
18 Jul 2024
Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement
  Learning
Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning
Xu-Hui Liu
Tian-Shuo Liu
Shengyi Jiang
Ruifeng Chen
Zhilong Zhang
Xinwei Chen
Yang Yu
OffRL
OnRL
34
2
0
17 Jul 2024
Aligning Diffusion Behaviors with Q-functions for Efficient Continuous
  Control
Aligning Diffusion Behaviors with Q-functions for Efficient Continuous Control
Huayu Chen
Kaiwen Zheng
Hang Su
Jun Zhu
51
1
0
12 Jul 2024
Generative Image as Action Models
Generative Image as Action Models
Mohit Shridhar
Yat Long Lo
Stephen James
43
9
0
10 Jul 2024
Potential Based Diffusion Motion Planning
Potential Based Diffusion Motion Planning
Yunhao Luo
Chen Sun
Joshua B. Tenenbaum
Yilun Du
DiffM
40
15
0
08 Jul 2024
BiRoDiff: Diffusion policies for bipedal robot locomotion on unseen
  terrains
BiRoDiff: Diffusion policies for bipedal robot locomotion on unseen terrains
Gvs Mothish
Manan Tayal
Shishir Kolathaya
41
4
0
07 Jul 2024
Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for
  Robot Learning
Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning
Yixiao Wang
Yifei Zhang
Mingxiao Huo
Ran Tian
Xiang Zhang
...
Chenfeng Xu
Pengliang Ji
Wei Zhan
Mingyu Ding
Masayoshi Tomizuka
MoE
44
18
0
01 Jul 2024
Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion
Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion
Boyuan Chen
Diego Marti Monso
Yilun Du
Max Simchowitz
Russ Tedrake
Vincent Sitzmann
DiffM
40
74
0
01 Jul 2024
Diffusion Models for Offline Multi-agent Reinforcement Learning with
  Safety Constraints
Diffusion Models for Offline Multi-agent Reinforcement Learning with Safety Constraints
Jianuo Huang
OffRL
27
0
0
30 Jun 2024
Guided Trajectory Generation with Diffusion Models for Offline
  Model-based Optimization
Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization
Taeyoung Yun
Sujin Yun
Jaewoo Lee
Jinkyoo Park
OffRL
54
5
0
29 Jun 2024
Human-Agent Joint Learning for Efficient Robot Manipulation Skill
  Acquisition
Human-Agent Joint Learning for Efficient Robot Manipulation Skill Acquisition
Shengcheng Luo
Quanquan Peng
Jun Lv
Kaiwen Hong
Katherine Rose Driggs-Campbell
Cewu Lu
Yong-Lu Li
55
3
0
29 Jun 2024
Language-Guided Object-Centric Diffusion Policy for Generalizable and Collision-Aware Robotic Manipulation
Language-Guided Object-Centric Diffusion Policy for Generalizable and Collision-Aware Robotic Manipulation
Hang Li
Qian Feng
Zhi Zheng
Jianxiang Feng
Zhaopeng Chen
Alois Knoll
26
1
0
29 Jun 2024
Diffusion Spectral Representation for Reinforcement Learning
Diffusion Spectral Representation for Reinforcement Learning
Dmitry Shribak
Chen-Xiao Gao
Yitong Li
Chenjun Xiao
Bo Dai
DiffM
29
3
0
23 Jun 2024
ARDuP: Active Region Video Diffusion for Universal Policies
ARDuP: Active Region Video Diffusion for Universal Policies
Shuaiyi Huang
Mara Levy
Zhenyu Jiang
Anima Anandkumar
Yuke Zhu
Linxi Fan
De-An Huang
Abhinav Shrivastava
VGen
50
2
0
19 Jun 2024
Variational Distillation of Diffusion Policies into Mixture of Experts
Variational Distillation of Diffusion Policies into Mixture of Experts
Hongyi Zhou
Denis Blessing
Ge Li
Onur Celik
Xiaogang Jia
Gerhard Neumann
Rudolf Lioutikov
DiffM
46
3
0
18 Jun 2024
Improving Reward-Conditioned Policies for Multi-Armed Bandits using
  Normalized Weight Functions
Improving Reward-Conditioned Policies for Multi-Armed Bandits using Normalized Weight Functions
Kai Xu
Farid Tajaddodianfar
Ben Allison
21
0
0
16 Jun 2024
CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models
  in Decision Making
CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making
Zibin Dong
Yifu Yuan
Jianye Hao
Fei Ni
Yi Ma
Pengyi Li
Yan Zheng
DiffM
58
9
0
13 Jun 2024
Residual Learning and Context Encoding for Adaptive Offline-to-Online
  Reinforcement Learning
Residual Learning and Context Encoding for Adaptive Offline-to-Online Reinforcement Learning
Mohammadreza Nakhaei
Aidan Scannell
Joni Pajarinen
OffRL
49
1
0
12 Jun 2024
PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer
PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer
Chang Chen
Junyeob Baek
Fei Deng
Kenji Kawaguchi
Çağlar Gülçehre
Sungjin Ahn
OffRL
41
1
0
10 Jun 2024
Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL
Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL
Qi Lv
Xiang Deng
Gongwei Chen
Michael Yu Wang
Liqiang Nie
75
7
0
08 Jun 2024
ATraDiff: Accelerating Online Reinforcement Learning with Imaginary
  Trajectories
ATraDiff: Accelerating Online Reinforcement Learning with Imaginary Trajectories
Qianlan Yang
Yu-Xiong Wang
OnRL
42
1
0
06 Jun 2024
Constraint-Aware Diffusion Models for Trajectory Optimization
Constraint-Aware Diffusion Models for Trajectory Optimization
Anjian Li
Zihan Ding
Adji Bousso Dieng
Ryne T. Beeson
45
4
0
03 Jun 2024
ManiCM: Real-time 3D Diffusion Policy via Consistency Model for Robotic Manipulation
ManiCM: Real-time 3D Diffusion Policy via Consistency Model for Robotic Manipulation
Guanxing Lu
Zifeng Gao
Tianxing Chen
Wen-Dao Dai
Ziwei Wang
Yansong Tang
Yansong Tang
DiffM
76
14
0
03 Jun 2024
Amortizing intractable inference in diffusion models for vision, language, and control
Amortizing intractable inference in diffusion models for vision, language, and control
S. Venkatraman
Moksh Jain
Luca Scimeca
Minsu Kim
Marcin Sendera
...
Alexandre Adam
Jarrid Rector-Brooks
Yoshua Bengio
Glen Berseth
Nikolay Malkin
68
25
0
31 May 2024
Learning from Random Demonstrations: Offline Reinforcement Learning with
  Importance-Sampled Diffusion Models
Learning from Random Demonstrations: Offline Reinforcement Learning with Importance-Sampled Diffusion Models
Zeyu Fang
Tian Lan
OffRL
39
2
0
30 May 2024
Instruction-Guided Visual Masking
Instruction-Guided Visual Masking
Jinliang Zheng
Jianxiong Li
Si Cheng
Yinan Zheng
Jiaming Li
Jihao Liu
Yu Liu
Jingjing Liu
Xianyuan Zhan
53
5
0
30 May 2024
Predicting Long-Term Human Behaviors in Discrete Representations via
  Physics-Guided Diffusion
Predicting Long-Term Human Behaviors in Discrete Representations via Physics-Guided Diffusion
Zhitian Zhang
Anjian Li
Angelica Lim
Mo Chen
41
3
0
29 May 2024
Diffusion Policy Attacker: Crafting Adversarial Attacks for
  Diffusion-based Policies
Diffusion Policy Attacker: Crafting Adversarial Attacks for Diffusion-based Policies
Yipu Chen
Haotian Xue
Yongxin Chen
AAML
35
4
0
29 May 2024
Long-Horizon Rollout via Dynamics Diffusion for Offline Reinforcement
  Learning
Long-Horizon Rollout via Dynamics Diffusion for Offline Reinforcement Learning
Hanye Zhao
Xiaoshen Han
Zhengbang Zhu
Minghuan Liu
Yong Yu
Weinan Zhang
OffRL
45
0
0
29 May 2024
Preferred-Action-Optimized Diffusion Policies for Offline Reinforcement
  Learning
Preferred-Action-Optimized Diffusion Policies for Offline Reinforcement Learning
Tianle Zhang
Jiayi Guan
Lin Zhao
Yihang Li
Dongjiang Li
...
Lei Sun
Yue Chen
Xuelong Wei
Lusong Li
Xiaodong He
43
1
0
29 May 2024
Model-Based Diffusion for Trajectory Optimization
Model-Based Diffusion for Trajectory Optimization
Chaoyi Pan
Zeji Yi
Guanya Shi
Guannan Qu
47
6
0
28 May 2024
AlignIQL: Policy Alignment in Implicit Q-Learning through Constrained
  Optimization
AlignIQL: Policy Alignment in Implicit Q-Learning through Constrained Optimization
Longxiang He
Li Shen
Junbo Tan
Xueqian Wang
49
1
0
28 May 2024
HarmoDT: Harmony Multi-Task Decision Transformer for Offline
  Reinforcement Learning
HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning
Shengchao Hu
Ziqing Fan
Li Shen
Ya Zhang
Yanfeng Wang
Dacheng Tao
OffRL
45
9
0
28 May 2024
Resisting Stochastic Risks in Diffusion Planners with the Trajectory
  Aggregation Tree
Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree
Lang Feng
Pengjie Gu
Jingyi Wang
Gang Pan
42
2
0
28 May 2024
GTA: Generative Trajectory Augmentation with Guidance for Offline
  Reinforcement Learning
GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning
Jaewoo Lee
Sujin Yun
Taeyoung Yun
Jinkyoo Park
46
7
0
27 May 2024
Diffusion-based Reinforcement Learning via Q-weighted Variational Policy
  Optimization
Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization
Shutong Ding
Ke Hu
Zhenhao Zhang
Kan Ren
Weinan Zhang
Jingyi Yu
Jingya Wang
Ye-ling Shi
40
8
0
25 May 2024
AIGB: Generative Auto-bidding via Diffusion Modeling
AIGB: Generative Auto-bidding via Diffusion Modeling
Jiayan Guo
Yusen Huo
Zhilin Zhang
Tianyu Wang
Chuan Yu
Jian Xu
Yan Zhang
Bo Zheng
DiffM
38
1
0
25 May 2024
Diffusion Actor-Critic with Entropy Regulator
Diffusion Actor-Critic with Entropy Regulator
Yinuo Wang
Likun Wang
Yuxuan Jiang
Wenjun Zou
Tong Liu
...
Wenxuan Wang
Liming Xiao
Jiang Wu
Jingliang Duan
Shengbo Eben Li
DiffM
42
10
0
24 May 2024
State-Constrained Offline Reinforcement Learning
State-Constrained Offline Reinforcement Learning
Charles A. Hepburn
Yue Jin
Giovanni Montana
OffRL
37
0
0
23 May 2024
Understanding the Training and Generalization of Pretrained Transformer
  for Sequential Decision Making
Understanding the Training and Generalization of Pretrained Transformer for Sequential Decision Making
Hanzhao Wang
Yu Pan
Fupeng Sun
Shang Liu
K. Talluri
Guanting Chen
Xiaocheng Li
OffRL
64
1
0
23 May 2024
Diffusion for World Modeling: Visual Details Matter in Atari
Diffusion for World Modeling: Visual Details Matter in Atari
Eloi Alonso
Adam Jelley
Vincent Micheli
Anssi Kanervisto
Amos Storkey
Tim Pearce
Franccois Fleuret
54
41
0
20 May 2024
Composable Part-Based Manipulation
Composable Part-Based Manipulation
Weiyu Liu
Jiayuan Mao
Joy Hsu
Tucker Hermans
Animesh Garg
Jiajun Wu
46
12
0
09 May 2024
LTLDoG: Satisfying Temporally-Extended Symbolic Constraints for Safe
  Diffusion-based Planning
LTLDoG: Satisfying Temporally-Extended Symbolic Constraints for Safe Diffusion-based Planning
Zeyu Feng
Hao Luan
Pranav Goyal
Harold Soh
21
7
0
07 May 2024
Video Diffusion Models: A Survey
Video Diffusion Models: A Survey
Andrew Melnik
Michal Ljubljanac
Cong Lu
Qi Yan
Weiming Ren
Helge J. Ritter
VGen
71
12
0
06 May 2024
Previous
123456
Next