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Planning with Diffusion for Flexible Behavior Synthesis

20 May 2022

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Papers citing "Planning with Diffusion for Flexible Behavior Synthesis"

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Title
FoMo Rewards: Can we cast foundation models as reward functions? Ekdeep Singh Lubana Johann Brehmer P. D. Haan Taco S. Cohen OffRL LRM 123 3 0 06 Dec 2023
Diffused Task-Agnostic Milestone Planner Mineui Hong Minjae Kang Songhwai Oh 144 8 0 06 Dec 2023
H-GAP: Humanoid Control with a Generalist Planner Zhengyao Jiang Yingchen Xu Nolan Wagener Yicheng Luo Michael Janner Edward Grefenstette Tim Rocktaschel Yuandong Tian AI4CE 161 9 0 05 Dec 2023
AAMDM: Accelerated Auto-regressive Motion Diffusion Model Tianyu Li Calvin Qiao Guanqiao Ren KangKang Yin Sehoon Ha 122 7 0 02 Dec 2023
Planning as In-Painting: A Diffusion-Based Embodied Task Planning Framework for Environments under Uncertainty Cheng-Fu Yang Haoyang Xu Te-Lin Wu Xiaofeng Gao Kai-Wei Chang Feng Gao DiffM 95 10 0 02 Dec 2023
SODA: Bottleneck Diffusion Models for Representation Learning Drew A. Hudson Daniel Zoran Mateusz Malinowski Andrew Kyle Lampinen Andrew Jaegle James L. McClelland Loic Matthey Felix Hill Alexander Lerchner DiffM 154 68 0 29 Nov 2023
DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models Tsun-Hsuan Wang Juntian Zheng Pingchuan Ma Yilun Du Byungchul Kim Andrew Spielberg Josh Tenenbaum Chuang Gan Daniela Rus AI4CE 109 32 0 28 Nov 2023
CG-HOI: Contact-Guided 3D Human-Object Interaction Generation Christian Diller Angela Dai 214 94 0 27 Nov 2023
Reinforcement Learning from Diffusion Feedback: Q* for Image Search Aboli Rajan Marathe VLM 137 0 0 27 Nov 2023
Guided Flows for Generative Modeling and Decision Making Qinqing Zheng Matt Le Neta Shaul Y. Lipman Aditya Grover Ricky T. Q. Chen 195 57 0 22 Nov 2023
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 222 144 0 22 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 267 76 0 02 Nov 2023
Large Trajectory Models are Scalable Motion Predictors and Planners Q. Sun Shiduo Zhang Danjiao Ma Jingzhe Shi Derun Li Simian Luo Yu Wang Ningyi Xu Guangzhi Cao Hang Zhao 126 19 0 30 Oct 2023
Refining Diffusion Planner for Reliable Behavior Synthesis by Automatic Detection of Infeasible Plans Kyowoon Lee Seongun Kim Jaesik Choi DiffM 111 16 0 30 Oct 2023
6-DoF Stability Field via Diffusion Models Takuma Yoneda Tianchong Jiang Gregory Shakhnarovich Matthew R. Walter 143 4 0 26 Oct 2023
Good Better Best: Self-Motivated Imitation Learning for noisy Demonstrations Ye Yuan Xin Li Yong Heng Leiji Zhang Mingzhong Wang DiffM 142 2 0 24 Oct 2023
Inferring Relational Potentials in Interacting Systems Armand Comas Massagu´e Yilun Du Christian Fernández S. Ghimire Octavia Camps J. Tenenbaum Mario Sznaier 136 5 0 23 Oct 2023
Cold Diffusion on the Replay Buffer: Learning to Plan from Known Good States Zidan Wang Takeru Oba Takuma Yoneda Rui Shen Matthew R. Walter Bradly C. Stadie DiffM 134 12 0 21 Oct 2023
Towards Robust Offline Reinforcement Learning under Diverse Data Corruption Rui Yang Han Zhong Jiawei Xu Amy Zhang Chong Zhang Lei Han Tong Zhang OffRL OnRL 204 20 0 19 Oct 2023
Denoising Heat-inspired Diffusion with Insulators for Collision Free Motion Planning Junwoo Chang Hyunwoo Ryu Jiwoo Kim Soochul Yoo Jongeun Choi Joohwan Seo N. Prakash R. Horowitz DiffM AI4CE 145 6 0 19 Oct 2023
MaskMA: Towards Zero-Shot Multi-Agent Decision Making with Mask-Based Collaborative Learning Jie Liu Yinmin Zhang Chuming Li Chao Yang Yaodong Yang Yu Liu Wanli Ouyang 82 3 0 18 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 243 192 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 141 28 0 14 Oct 2023
Generative Skill Chaining: Long-Horizon Skill Planning with Diffusion Models Utkarsh Aashu Mishra Shangjie Xue Yongxin Chen Danfei Xu LRM 163 89 0 13 Oct 2023
Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task Maya Okawa Ekdeep Singh Lubana Robert P. Dick Hidenori Tanaka CoGe DiffM 235 74 0 13 Oct 2023
NoMaD: Goal Masked Diffusion Policies for Navigation and Exploration A. Sridhar Dhruv Shah Catherine Glossop Sergey Levine 147 187 0 11 Oct 2023
DiPPeR: Diffusion-based 2D Path Planner applied on Legged Robots Jianwei Liu Jeffrey Li Dimitrios Kanoulas 99 29 0 11 Oct 2023
Score Regularized Policy Optimization through Diffusion Behavior Huayu Chen Cheng Lu Zhengyi Wang Hang Su Jun Zhu 117 33 0 11 Oct 2023
Boosting Continuous Control with Consistency Policy Yuhui Chen Haoran Li Dongbin Zhao OffRL 139 32 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 133 13 0 09 Oct 2023
Learning to Reach Goals via Diffusion V. Jain Siamak Ravanbakhsh DiffM OffRL 110 6 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 145 35 0 03 Oct 2023
Efficient Planning with Latent Diffusion Wenhao Li DiffM 198 9 0 30 Sep 2023
Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning Daoce Wang Chi Jin OffRL DiffM 132 44 0 29 Sep 2023
Efficiency Separation between RL Methods: Model-Free, Model-Based and Goal-Conditioned Han Bao Raphaël Jungers Jean-Charles Delvenne OffRL 108 1 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 97 22 0 26 Sep 2023
Neural Informed RRT*: Learning-based Path Planning with Point Cloud State Representations under Admissible Ellipsoidal Constraints Zhe Huang Hongyu Chen John Pohovey Katherine Driggs-Campbell 135 18 0 26 Sep 2023
A Diffusion-Model of Joint Interactive Navigation Matthew Niedoba J. Lavington Yunpeng Liu Vasileios Lioutas Justice Sefas ... Dylan Green Setareh Dabiri Berend Zwartsenberg Adam Scibior Frank Wood DiffM 96 16 0 21 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 127 40 0 20 Sep 2023
Compositional Foundation Models for Hierarchical Planning Anurag Ajay Seung-Jun Han Yilun Du Shaung Li Abhi Gupta Tommi Jaakkola Josh Tenenbaum L. Kaelbling Akash Srivastava Pulkit Agrawal LRM 227 86 0 15 Sep 2023
Beta Diffusion Mingyuan Zhou Tianqi Chen Zhendong Wang Huangjie Zheng DiffM 162 16 0 14 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 91 29 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 314 27 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 157 10 0 11 Sep 2023
Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning David Yunis Justin Jung Falcon Z. Dai Matthew R. Walter OffRL 122 0 0 08 Sep 2023
Variations and Relaxations of Normalizing Flows Keegan Kelly Lorena Piedras Sukrit Rao David Samuel Roth BDL 118 1 0 08 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 196 51 0 06 Sep 2023
Diffusion Generative Inverse Design Marin Vlastelica Tatiana López-Guevara Kelsey R. Allen Peter Battaglia Arnaud Doucet Kimberley L. Stachenfeld DiffM 99 1 0 05 Sep 2023
RenAIssance: A Survey into AI Text-to-Image Generation in the Era of Large Model Fengxiang Bie Jianlong Wu Zhongzhu Zhou Adam Ghanem Minjia Zhang ... Pareesa Ameneh Golnari David A. Clifton Yuxiong He Dacheng Tao Shuaiwen Leon Song EGVM 137 34 0 02 Sep 2023
Transfusor: Transformer Diffusor for Controllable Human-like Generation of Vehicle Lane Changing Trajectories Jiqian Dong Sikai Chen Samuel Labi 60 2 0 28 Aug 2023