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. 2301.10677
  4. Cited By
Imitating Human Behaviour with Diffusion Models

Imitating Human Behaviour with Diffusion Models

25 January 2023
Tim Pearce
Tabish Rashid
Anssi Kanervisto
David Bignell
Mingfei Sun
Raluca Georgescu
Sergio Valcarcel Macua
Shan Zheng Tan
Ida Momennejad
Katja Hofmann
Sam Devlin
    DiffM
ArXivPDFHTML

Papers citing "Imitating Human Behaviour with Diffusion Models"

50 / 162 papers shown
Title
Generalizing Consistency Policy to Visual RL with Prioritized Proximal
  Experience Regularization
Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization
Haoran Li
Zhennan Jiang
Yuhui Chen
Dongbin Zhao
OffRL
25
2
0
28 Sep 2024
RAIL: Reachability-Aided Imitation Learning for Safe Policy Execution
RAIL: Reachability-Aided Imitation Learning for Safe Policy Execution
Wonsuhk Jung
Dennis Anthony
Utkarsh Aashu Mishra
Nadun Ranawaka Arachchige
Matthew Bronars
Danfei Xu
Shreyas Kousik
33
0
0
28 Sep 2024
Discrete Policy: Learning Disentangled Action Space for Multi-Task Robotic Manipulation
Discrete Policy: Learning Disentangled Action Space for Multi-Task Robotic Manipulation
Kun Wu
Yichen Zhu
Jinming Li
Junjie Wen
Ning Liu
Zhiyuan Xu
Qinru Qiu
42
4
0
27 Sep 2024
Generative Factor Chaining: Coordinated Manipulation with
  Diffusion-based Factor Graph
Generative Factor Chaining: Coordinated Manipulation with Diffusion-based Factor Graph
Utkarsh Aashu Mishra
Yongxin Chen
Danfei Xu
LRM
33
4
0
24 Sep 2024
Scaling Diffusion Policy in Transformer to 1 Billion Parameters for
  Robotic Manipulation
Scaling Diffusion Policy in Transformer to 1 Billion Parameters for Robotic Manipulation
Minjie Zhu
Yichen Zhu
Jinming Li
Junjie Wen
Zhiyuan Xu
...
Ran Cheng
Chaomin Shen
Yaxin Peng
Feifei Feng
Jian Tang
38
13
0
22 Sep 2024
TacDiffusion: Force-domain Diffusion Policy for Precise Tactile Manipulation
TacDiffusion: Force-domain Diffusion Policy for Precise Tactile Manipulation
Yansong Wu
Zongxie Chen
Fan Wu
L. Chen
Liding Zhang
Zhenshan Bing
Abdalla Swikir
Sami Haddadin
Sami Haddadin
69
10
0
17 Sep 2024
Forward KL Regularized Preference Optimization for Aligning Diffusion
  Policies
Forward KL Regularized Preference Optimization for Aligning Diffusion Policies
Zhao Shan
Chenyou Fan
Shuang Qiu
Jiyuan Shi
Chenjia Bai
40
4
0
09 Sep 2024
Diffusion Policy Policy Optimization
Diffusion Policy Policy Optimization
Allen Z. Ren
Justin Lidard
Lars L. Ankile
Anthony Simeonov
Pulkit Agrawal
Anirudha Majumdar
Benjamin Burchfiel
Hongkai Dai
Max Simchowitz
45
36
0
01 Sep 2024
Pareto Inverse Reinforcement Learning for Diverse Expert Policy
  Generation
Pareto Inverse Reinforcement Learning for Diverse Expert Policy Generation
Woo Kyung Kim
Minjong Yoo
Honguk Woo
OffRL
42
0
0
22 Aug 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
Equivariant Diffusion Policy
Equivariant Diffusion Policy
Dian Wang
Stephen M. Hart
David Surovik
Tarik Kelestemur
Haojie Huang
Haibo Zhao
Mark Yeatman
Jiuguang Wang
Robin Walters
Robert Platt
DiffM
57
21
0
01 Jul 2024
Provable Statistical Rates for Consistency Diffusion Models
Provable Statistical Rates for Consistency Diffusion Models
Zehao Dou
Minshuo Chen
Mengdi Wang
Zhuoran Yang
DiffM
37
3
0
23 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
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
BAKU: An Efficient Transformer for Multi-Task Policy Learning
BAKU: An Efficient Transformer for Multi-Task Policy Learning
Siddhant Haldar
Zhuoran Peng
Lerrel Pinto
OffRL
44
27
0
11 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
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
73
14
0
03 Jun 2024
Diffusion Policies creating a Trust Region for Offline Reinforcement
  Learning
Diffusion Policies creating a Trust Region for Offline Reinforcement Learning
Tianyu Chen
Zhendong Wang
Mingyuan Zhou
OffRL
32
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
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
RB-Modulation: Training-Free Personalization of Diffusion Models using
  Stochastic Optimal Control
RB-Modulation: Training-Free Personalization of Diffusion Models using Stochastic Optimal Control
Litu Rout
Yujia Chen
Nataniel Ruiz
Abhishek Kumar
C. Caramanis
Sanjay Shakkottai
Wen-Sheng Chu
DiffM
40
23
0
27 May 2024
AbstractBeam: Enhancing Bottom-Up Program Synthesis using Library
  Learning
AbstractBeam: Enhancing Bottom-Up Program Synthesis using Library Learning
Janis Zenkner
Lukas Dierkes
Tobias Sesterhenn
Chrisitan Bartelt
37
1
0
27 May 2024
Diffusion-Reward Adversarial Imitation Learning
Diffusion-Reward Adversarial Imitation Learning
Chun-Mao Lai
Hsiang-Chun Wang
Ping-Chun Hsieh
Yu-Chiang Frank Wang
Min-Hung Chen
Shao-Hua Sun
37
8
0
25 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
40
0
20 May 2024
Consistency Policy: Accelerated Visuomotor Policies via Consistency
  Distillation
Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation
Aaditya Prasad
Kevin Qinghong Lin
Jimmy Wu
Linqi Zhou
Jeannette Bohg
40
50
0
13 May 2024
Pre-trained Text-to-Image Diffusion Models Are Versatile Representation
  Learners for Control
Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control
Gunshi Gupta
Karmesh Yadav
Y. Gal
Dhruv Batra
Z. Kira
Cong Lu
Tim G. J. Rudner
39
7
0
09 May 2024
MRIC: Model-Based Reinforcement-Imitation Learning with
  Mixture-of-Codebooks for Autonomous Driving Simulation
MRIC: Model-Based Reinforcement-Imitation Learning with Mixture-of-Codebooks for Autonomous Driving Simulation
Baotian He
Yibing Li
44
0
0
29 Apr 2024
RoboDreamer: Learning Compositional World Models for Robot Imagination
RoboDreamer: Learning Compositional World Models for Robot Imagination
Siyuan Zhou
Yilun Du
Jiaben Chen
Yandong Li
Dit-Yan Yeung
Chuang Gan
VGen
LM&Ro
82
29
0
18 Apr 2024
An Overview of Diffusion Models: Applications, Guided Generation,
  Statistical Rates and Optimization
An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization
Minshuo Chen
Song Mei
Jianqing Fan
Mengdi Wang
VLM
MedIm
DiffM
37
48
0
11 Apr 2024
Regularized Conditional Diffusion Model for Multi-Task Preference
  Alignment
Regularized Conditional Diffusion Model for Multi-Task Preference Alignment
Xudong Yu
Chenjia Bai
Haoran He
Changhong Wang
Xuelong Li
40
6
0
07 Apr 2024
JUICER: Data-Efficient Imitation Learning for Robotic Assembly
JUICER: Data-Efficient Imitation Learning for Robotic Assembly
Lars Ankile
Anthony Simeonov
Idan Shenfeld
Pulkit Agrawal
LM&Ro
42
15
0
04 Apr 2024
Versatile Navigation under Partial Observability via Value-guided
  Diffusion Policy
Versatile Navigation under Partial Observability via Value-guided Diffusion Policy
Gengyu Zhang
Hao Tang
Yan Yan
33
2
0
01 Apr 2024
Uncertainty-aware Distributional Offline Reinforcement Learning
Uncertainty-aware Distributional Offline Reinforcement Learning
Xiaocong Chen
Siyu Wang
Tong Yu
Lina Yao
OffRL
24
1
0
26 Mar 2024
Diffusion Model for Data-Driven Black-Box Optimization
Diffusion Model for Data-Driven Black-Box Optimization
Zihao Li
Hui Yuan
Kaixuan Huang
Chengzhuo Ni
Yinyu Ye
Minshuo Chen
Mengdi Wang
DiffM
40
9
0
20 Mar 2024
Subgoal Diffuser: Coarse-to-fine Subgoal Generation to Guide Model
  Predictive Control for Robot Manipulation
Subgoal Diffuser: Coarse-to-fine Subgoal Generation to Guide Model Predictive Control for Robot Manipulation
Zixuan Huang
Yating Lin
Fan Yang
Dmitry Berenson
43
4
0
19 Mar 2024
InfoCon: Concept Discovery with Generative and Discriminative
  Informativeness
InfoCon: Concept Discovery with Generative and Discriminative Informativeness
Ruizhe Liu
Qian Luo
Yanchao Yang
37
2
0
14 Mar 2024
3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple
  3D Representations
3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations
Yanjie Ze
Gu Zhang
Kangning Zhang
Chenyuan Hu
Muhan Wang
Huazhe Xu
VGen
42
77
0
06 Mar 2024
Behavior Generation with Latent Actions
Behavior Generation with Latent Actions
Seungjae Lee
Yibin Wang
Haritheja Etukuru
H. J. Kim
Mahi Shafiullah
Lerrel Pinto
VGen
OffRL
33
65
0
05 Mar 2024
Robust Policy Learning via Offline Skill Diffusion
Robust Policy Learning via Offline Skill Diffusion
Woo Kyung Kim
Minjong Yoo
Honguk Woo
OffRL
24
6
0
01 Mar 2024
ELA: Exploited Level Augmentation for Offline Learning in Zero-Sum Games
ELA: Exploited Level Augmentation for Offline Learning in Zero-Sum Games
Shiqi Lei
Kanghoon Lee
Linjing Li
Jinkyoo Park
Jiachen Li
OffRL
31
1
0
28 Feb 2024
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with
  Control Theory
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory
Tianjiao Luo
Tim Pearce
Huayu Chen
Jianfei Chen
Jun Zhu
35
2
0
26 Feb 2024
Don't Start from Scratch: Behavioral Refinement via Interpolant-based
  Policy Diffusion
Don't Start from Scratch: Behavioral Refinement via Interpolant-based Policy Diffusion
Kaiqi Chen
Eugene Lim
Kelvin Lin
Yiyang Chen
Harold Soh
DiffM
27
10
0
25 Feb 2024
Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human
  Demonstrations
Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations
Xiaogang Jia
Denis Blessing
Xinkai Jiang
Moritz Reuss
Atalay Donat
Rudolf Lioutikov
Gerhard Neumann
47
20
0
22 Feb 2024
3D Diffuser Actor: Policy Diffusion with 3D Scene Representations
3D Diffuser Actor: Policy Diffusion with 3D Scene Representations
Tsung-Wei Ke
N. Gkanatsios
Katerina Fragkiadaki
VGen
39
108
0
16 Feb 2024
OIL-AD: An Anomaly Detection Framework for Sequential Decision Sequences
OIL-AD: An Anomaly Detection Framework for Sequential Decision Sequences
Chen Wang
S. Erfani
T. Alpcan
Christopher Leckie
OffRL
32
2
0
07 Feb 2024
AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based Policies
AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based Policies
Xixi Hu
Bo Liu
Xingchao Liu
Qiang Liu
36
11
0
06 Feb 2024
DiffuserLite: Towards Real-time Diffusion Planning
DiffuserLite: Towards Real-time Diffusion Planning
Zibin Dong
Jianye Hao
Yifu Yuan
Fei Ni
Yitian Wang
Pengyi Li
Yan Zheng
83
15
0
27 Jan 2024
DDM-Lag : A Diffusion-based Decision-making Model for Autonomous
  Vehicles with Lagrangian Safety Enhancement
DDM-Lag : A Diffusion-based Decision-making Model for Autonomous Vehicles with Lagrangian Safety Enhancement
Jiaqi Liu
Peng Hang
Xiaocong Zhao
Jianqiang Wang
Jian Sun
54
10
0
08 Jan 2024
Simple Hierarchical Planning with Diffusion
Simple Hierarchical Planning with Diffusion
Chang Chen
Fei Deng
Kenji Kawaguchi
Çağlar Gülçehre
Sungjin Ahn
OffRL
DiffM
43
24
0
05 Jan 2024
Previous
1234
Next