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Effective trajectory stitching for long-horizon planning is a significant challenge in robotic decision-making.
Motion planning diffusion: Learning and planning of robot motions with diffusion models
Carvalho Joao, Le An T, Baierl Mark, Koert Dorothea, Peters Jan · 1923
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Maximum entropy inverse reinforcement learning
Ziebart Brian D, Maas Andrew L, Bagnell J Andrew, Dey Anind K, others · 2008
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Deep unsupervised learning using nonequilibrium thermodynamics
Sohl-Dickstein Jascha, Weiss Eric, Maheswaranathan Niru, Ganguli Surya · 2015
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Attention is all you need
Vaswani Ashish, Shazeer Noam, Parmar Niki, Uszkoreit Jakob, Jones Llion, Gomez Aidan N, Kaiser Łukasz, Polosukhin Illia · 2017
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Reinforcement learning: An introduction. 2018
Sutton Richard S, Barto Andrew G · 2018
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Learning to reach goals via iterated supervised learning
Ghosh Dibya, Gupta Abhishek, Reddy Ashwin, Fu Justin, Devin Coline, Eysenbach Benjamin, Levine Sergey · 2019
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Compositional visual generation with energy based models
Du Yilun, Li Shuang, Mordatch Igor · 2020
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Denoising diffusion probabilistic models
Ho Jonathan, Jain Ajay, Abbeel Pieter · 2020
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Learning latent plans from play
Lynch Corey, Khansari Mohi, Xiao Ted, Kumar Vikash, Tompson Jonathan, Levine Sergey, Sermanet Pierre · 2020
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Decision transformer: Reinforcement learning via sequence modeling
Chen Lili, Lu Kevin, Rajeswaran Aravind, Lee Kimin, Grover Aditya, Laskin Misha, Abbeel Pieter, Srinivas Aravind, Mordatch Igor · 2021
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Rvs: What is essential for offline rl via supervised learning?
Emmons Scott, Eysenbach Benjamin, Kostrikov Ilya, Levine Sergey · 2021
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Offline reinforcement learning with implicit q-learning
Kostrikov Ilya, Nair Ashvin, Levine Sergey · 2021
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Is Conditional Generative Modeling all you need for Decision Making?
Ajay Anurag, Du Yilun, Gupta Abhi, Tenenbaum Joshua B, Jaakkola Tommi S, Agrawal Pulkit · 2022
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Bats: Best action trajectory stitching
Char Ian, Mehta Viraj, Villaflor Adam, Dolan John M, Schneider Jeff · 2022
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Contrastive learning as goal-conditioned reinforcement learning
Eysenbach Benjamin, Zhang Tianjun, Levine Sergey, Salakhutdinov Russ R · 2022
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Model-based Trajectory Stitching for Improved Offline Reinforcement Learning
Hepburn Charles Alexander, Montana Giovanni · 2022
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Planning with Diffusion for Flexible Behavior Synthesis
Janner Michael, Du Yilun, Tenenbaum Joshua, Levine Sergey · 2022
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Compositional visual generation with composable diffusion models
Liu Nan, Li Shuang, Du Yilun, Torralba Antonio, Tenenbaum Joshua B · 2022
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Diffusion policies as an expressive policy class for offline reinforcement learning
Wang Zhendong, Hunt Jonathan J, Zhou Mingyuan · 2022
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Compositional Foundation Models for Hierarchical Planning
Ajay Anurag, Han Seungwook, Du Yilun, Li Shuang, Gupta Abhi, Jaakkola Tommi S., Tenenbaum Joshua B., Kaelbling Leslie Pack, Srivastava Akash, Agrawal Pulkit · 2023
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EDGI: Equivariant diffusion for planning with embodied agents
Brehmer Johann, Bose Joey, De Haan Pim, Cohen Taco S · 2023
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Reduce, reuse, recycle: Compositional generation with energy-based diffusion models and mcmc
Du Yilun, Durkan Conor, Strudel Robin, Tenenbaum Joshua B, Dieleman Sander, Fergus Rob, Sohl-Dickstein Jascha, Doucet Arnaud, Grathwohl Will Sussman · 2023
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Compositional sculpting of iterative generative processes
Garipov Timur, De Peuter Sebastiaan, Yang Ge, Garg Vikas, Kaski Samuel, Jaakkola Tommi · 2023
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Diffusion model is an effective planner and data synthesizer for multi-task reinforcement learning
He Haoran, Bai Chenjia, Xu Kang, Yang Zhuoran, Zhang Weinan, Wang Dong, Zhao Bin, Li Xuelong · 2023
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Hierarchical diffusion for offline decision making
Li Wenhao, Wang Xiangfeng, Jin Bo, Zha Hongyuan · 2023
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AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners
Liang Zhixuan, Mu Yao, Ding Mingyu, Ni Fei, Tomizuka Masayoshi, Luo Ping · 2023
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Generative Skill Chaining: Long-Horizon Skill Planning with Diffusion Models
Mishra Utkarsh Aashu, Xue Shangjie, Chen Yongxin, Xu Danfei · 2023
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Imitating human behaviour with diffusion models
Pearce Tim, Rashid Tabish, Kanervisto Anssi, Bignell Dave, Sun Mingfei, Georgescu Raluca, Macua Sergio Valcarcel, Tan Shan Zheng, Momennejad Ida, Hofmann Katja, others · 2023
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Enhancing Decision Transformer with Diffusion-Based Trajectory Branch Generation
Liu Zhihong, Qian Long, Liu Zeyang, Wan Lipeng, Chen Xingyu, Lan Xuguang · 2024
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Synthetic experience replay
Lu Cong, Ball Philip, Teh Yee Whye, Parker-Holder Jack · 2024
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Potential Based Diffusion Motion Planning
Luo Yunhao, Sun Chen, Tenenbaum Joshua B, Du Yilun · 2024
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Hierarchical Diffusion Policy for Kinematics-Aware Multi-Task Robotic Manipulation
Ma Xiao, Patidar Sumit, Haughton Iain, James Stephen · 2024
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Compositional Risk Minimization
Mahajan Divyat, Pezeshki Mohammad, Mitliagkas Ioannis, Ahuja Kartik, Vincent Pascal · 2024
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Peebles William, Xie Saining · 2023
Cited alongside, same era.
Human motion diffusion as a generative prior
Shafir Yonatan, Tevet Guy, Kapon Roy, Bermano Amit H · 2023
Cited alongside, same era.
Reasoning with latent diffusion in offline reinforcement learning
Venkatraman Siddarth, Khaitan Shivesh, Akella Ravi Tej, Dolan John, Schneider Jeff, Berseth Glen · 2023
Cited alongside, same era.
Elastic decision transformer
Wu Yueh-Hua, Wang Xiaolong, Hamaya Masashi · 2023
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Q-learning decision transformer: Leveraging dynamic programming for conditional sequence modelling in offline rl
Yamagata Taku, Khalil Ahmed, Santos-Rodriguez Raul · 2023
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Goal-conditioned predictive coding for offline reinforcement learning
Zeng Zilai, Zhang Ce, Wang Shijie, Sun Chen · 2023
Cited alongside, same era.
Diffcollage: Parallel generation of large content with diffusion models
Zhang Qinsheng, Song Jiaming, Huang Xun, Chen Yongxin, Liu Ming-Yu · 2023
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Generative Factor Chaining: Coordinated Manipulation with Diffusion-based Factor Graph
Mishra Utkarsh Aashu, Chen Yongxin, Xu Danfei · 2024
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Extracting reward functions from diffusion models
Nuti Felipe, Franzmeyer Tim, Henriques João F · 2024
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Compositional abilities emerge multiplicatively: Exploring diffusion models on a synthetic task
Okawa Maya, Lubana Ekdeep S, Dick Robert, Tanaka Hidenori · 2024
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Hiql: Offline goal-conditioned rl with latent states as actions
Park Seohong, Ghosh Dibya, Eysenbach Benjamin, Levine Sergey · 2024
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Composing Diffusion Policies for Few-shot Learning of Movement Trajectories
Patil Omkar, Sah Anant, Gopalan Nakul · 2024
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The Superposition of Diffusion Models Using the Itô Density Estimator
Skreta Marta, Atanackovic Lazar, Bose Avishek Joey, Tong Alexander, Neklyudov Kirill · 2024
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Compositional image decomposition with diffusion models
Su Jocelin, Liu Nan, Wang Yanbo, Tenenbaum Joshua B, Du Yilun · 2024
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Diffusion model for planning: A systematic literature review
Ubukata Toshihide, Li Jialong, Tei Kenji · 2024
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Yang Brian, Su Huangyuan, Gkanatsios Nikolaos, Ke Tsung-Wei, Jain Ayush, Schneider Jeff, Fragkiadaki Katerina · 2024
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Beyond autoregression: Discrete diffusion for complex reasoning and planning
Ye Jiacheng, Gao Jiahui, Gong Shansan, Zheng Lin, Jiang Xin, Li Zhenguo, Kong Lingpeng · 2024
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Madiff: Offline multi-agent learning with diffusion models
Zhu Zhengbang, Liu Minghuan, Mao Liyuan, Kang Bingyi, Xu Minkai, Yu Yong, Ermon Stefano, Zhang Weinan · 2024
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Reinformer: Max-Return Sequence Modeling for Offline RL
Zhuang Zifeng, Peng Dengyun, Liu Jinxin, Zhang Ziqi, Wang Donglin · 2024
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Mechanisms of Projective Composition of Diffusion Models
Bradley Arwen, Nakkiran Preetum, Berthelot David, Thornton James, Susskind Joshua M · 2025
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DRDT3: Diffusion-Refined Decision Test-Time Training Model
Huang Xingshuai, Wu Di, Boulet Benoit · 2025
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What Makes a Good Diffusion Planner for Decision Making?
Lu Haofei, Han Dongqi, Shen Yifei, Li Dongsheng · 2025
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OGBench: Benchmarking Offline Goal-Conditioned RL
Park Seohong, Frans Kevin, Eysenbach Benjamin, Levine Sergey · 2025
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Composition and Control with Distilled Energy Diffusion Models and Sequential Monte Carlo
Thornton James, Bethune Louis, Zhang Ruixiang, Bradley Arwen, Nakkiran Preetum, Zhai Shuangfei · 2025
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