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Modern AI systems, especially those interacting with the physical world, increasingly require real-time performance.
Planning and learning in environments with delayed feedback
Thomas J Walsh, Ali Nouri, Lihong Li, and Michael L Littman · 2007
Earlier work this paper cites.
Process Systems Analysis and Control , chapter 18
Donald R. Coughanowr and Steven E. LeBlanc · 2009
Earlier work this paper cites.
Control delay in reinforcement learning for real-time dynamic systems: A memoryless approach
Erik Schuitema, Lucian Buşoniu, Robert Babuška, and Pieter Jonker · 2010
Earlier work this paper cites.
Model Predictive Control: Theory, Computation, and Design
J.B. Rawlings, D.Q. Mayne, and M. Diehl · 2017
Earlier work this paper cites.
Automatic differentiation in machine learning: a survey
Atilim Gunes Baydin, Barak A Pearlmutter, Alexey Andreyevich Radul, and Jeffrey Mark Siskind · 2018
Earlier work this paper cites.
At human speed: Deep reinforcement learning with action delay
Vlad Firoiu, Tina Ju, and Josh Tenenbaum · 2018
Earlier work this paper cites.
Quantization and training of neural networks for efficient integer-arithmetic-only inference
Benoit Jacob, Skirmantas Kligys, Bo Chen, Menglong Zhu, Matthew Tang, Andrew Howard, Hartwig Adam, and Dmitry Kalenichenko · 2018
Earlier work this paper cites.
Roboturk: A crowdsourcing platform for robotic skill learning through imitation
Ajay Mandlekar, Yuke Zhu, Animesh Garg, Jonathan Booher, Max Spero, Albert Tung, Julian Gao, John Emmons, Anchit Gupta, Emre Orbay, et al · 2018
Earlier work this paper cites.
Sim-to-real: Learning agile locomotion for quadruped robots
Jie Tan, Tingnan Zhang, Erwin Coumans, Atil Iscen, Yunfei Bai, Danijar Hafner, Steven Bohez, and Vincent Vanhoucke · 2018
Earlier work this paper cites.
Real-time reinforcement learning optimized energy management for a 48v mild hybrid electric vehicle
Bin Xu, Farzam Malmir, Dhruvang Rathod, and Zoran Filipi · 2019
Earlier work this paper cites.
Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Earlier work this paper cites.
Scaling laws for neural language models
Jared Kaplan, Sam McCandlish, Tom Henighan, Tom B Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei · 2020
Earlier work this paper cites.
Thinking while moving: Deep reinforcement learning with concurrent control
Ted Xiao, Eric Jang, Dmitry Kalashnikov, Sergey Levine, Julian Ibarz, Karol Hausman, and Alexander Herzog · 2020
Earlier work this paper cites.
Mlp-mixer: An all-mlp architecture for vision
Ilya O Tolstikhin, Neil Houlsby, Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Thomas Unterthiner, Jessica Yung, Andreas Steiner, Daniel Keysers, Jakob Uszkoreit, et al · 2021
Earlier work this paper cites.
Is conditional generative modeling all you need for decision-making?
Anurag Ajay, Yilun Du, Abhi Gupta, Joshua Tenenbaum, Tommi Jaakkola, and Pulkit Agrawal · 2022
Earlier work this paper cites.
Temporal difference learning for model predictive control, 2022
Nicklas Hansen, Xiaolong Wang, and Hao Su · 2022
Earlier work this paper cites.
Planning with diffusion for flexible behavior synthesis
Michael Janner, Yilun Du, Joshua B Tenenbaum, and Sergey Levine · 2022
Earlier work this paper cites.
Action chunking as policy compression
Lucy Lai, Ann Zixiang Huang, and Samuel J Gershman · 2022
Earlier work this paper cites.
Flow matching for generative modeling
Yaron Lipman, Ricky TQ Chen, Heli Ben-Hamu, Maximilian Nickel, and Matt Le · 2022
Earlier work this paper cites.
Flow straight and fast: Learning to generate and transfer data with rectified flow
Xingchao Liu, Chengyue Gong, and Qiang Liu · 2022
Earlier work this paper cites.
Repaint: Inpainting using denoising diffusion probabilistic models
Andreas Lugmayr, Martin Danelljan, Andres Romero, Fisher Yu, Radu Timofte, and Luc Van Gool · 2022
Earlier work this paper cites.
Robust policy optimization in deep reinforcement learning
Md Masudur Rahman and Yexiang Xue · 2022
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Progressive distillation for fast sampling of diffusion models
Tim Salimans and Jonathan Ho · 2022
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Diffusion policies as an expressive policy class for offline reinforcement learning
Zhendong Wang, Jonathan J Hunt, and Mingyuan Zhou · 2022
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Diffusion policy: Visuomotor policy learning via action diffusion
Cheng Chi, Zhenjia Xu, Siyuan Feng, Eric Cousineau, Yilun Du, Benjamin Burchfiel, Russ Tedrake, and Shuran Song · 2023
Cited alongside, same era.
Open X-Embodiment: Robotic learning datasets and RT-X models
Diffusion meets flow matching: Two sides of the same coin
Ruiqi Gao, Emiel Hoogeboom, Jonathan Heek, Valentin De Bortoli, Kevin P. Murphy, and Tim Salimans · 2024
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Streaming diffusion policy: Fast policy synthesis with variable noise diffusion models
Sigmund H Høeg, Yilun Du, and Olav Egeland · 2024
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Dexmimicgen: Automated data generation for bimanual dexterous manipulation via imitation learning
Zhenyu Jiang, Yuqi Xie, Kevin Lin, Zhenjia Xu, Weikang Wan, Ajay Mandlekar, Linxi Fan, and Yuke Zhu · 2024
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Openvla: An open-source vision-language-action model
Moo Jin Kim, Karl Pertsch, Siddharth Karamcheti, Ted Xiao, Ashwin Balakrishna, Suraj Nair, Rafael Rafailov, Ethan Foster, Grace Lam, Pannag Sanketi, et al · 2024
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OX-Embodiment Collaboration, A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, A Rai, A Singh, et al · 2023
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One act play: Single demonstration behavior cloning with action chunking transformers
Abraham George and Amir Barati Farimani · 2023
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Efficient memory management for large language model serving with pagedattention
Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph Gonzalez, Hao Zhang, and Ion Stoica · 2023
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A variational perspective on solving inverse problems with diffusion models
Morteza Mardani, Jiaming Song, Jan Kautz, and Arash Vahdat · 2023
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Imitating human behaviour with diffusion models
Tim Pearce, Tabish Rashid, Anssi Kanervisto, Dave Bignell, Mingfei Sun, Raluca Georgescu, Sergio Valcarcel Macua, Shan Zheng Tan, Ida Momennejad, Katja Hofmann, et al · 2023
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Training-free linear image inverses via flows
Ashwini Pokle, Matthew J Muckley, Ricky TQ Chen, and Brian Karrer · 2023
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Real-time neural mpc: Deep learning model predictive control for quadrotors and agile robotic platforms
Tim Salzmann, Elia Kaufmann, Jon Arrizabalaga, Marco Pavone, Davide Scaramuzza, and Markus Ryll · 2023
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BridgeData v2: A dataset for robot learning at scale
Homer Rich Walke, Kevin Black, Tony Z Zhao, Quan Vuong, Chongyi Zheng, Philippe Hansen-Estruch, Andre Wang He, Vivek Myers, Moo Jin Kim, Max Du, et al · 2023
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Seungjae Lee, Yibin Wang, Haritheja Etukuru, H Jin Kim, Nur Muhammad Mahi Shafiullah, and Lerrel Pinto · 2024
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Awq: Activation-aware weight quantization for on-device llm compression and acceleration
Ji Lin, Jiaming Tang, Haotian Tang, Shang Yang, Wei-Ming Chen, Wei-Chen Wang, Guangxuan Xiao, Xingyu Dang, Chuang Gan, and Song Han · 2024
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Kinetix: Investigating the training of general agents through open-ended physics-based control tasks
Michael Matthews, Michael Beukman, Chris Lu, and Jakob Foerster · 2024
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Quest: Self-supervised skill abstractions for learning continuous control, 2024
Atharva Mete, Haotian Xue, Albert Wilcox, Yongxin Chen, and Animesh Garg · 2024
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Consistency policy: Accelerated visuomotor policies via consistency distillation
Aaditya Prasad, Kevin Lin, Jimmy Wu, Linqi Zhou, and Jeannette Bohg · 2024
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Aloha unleashed: A simple recipe for robot dexterity
Tony Z Zhao, Jonathan Tompson, Danny Driess, Pete Florence, Kamyar Ghasemipour, Chelsea Finn, and Ayzaan Wahid · 2024
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3d-vla: 3d vision-language-action generative world model
Haoyu Zhen, Xiaowen Qiu, Peihao Chen, Jincheng Yang, Xin Yan, Yilun Du, Yining Hong, and Chuang Gan · 2024
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Tracevla: Visual trace prompting enhances spatial-temporal awareness for generalist robotic policies
Ruijie Zheng, Yongyuan Liang, Shuaiyi Huang, Jianfeng Gao, Hal Daumé III, Andrey Kolobov, Furong Huang, and Jianwei Yang · 2024
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Gr00t n1: An open foundation model for generalist humanoid robots
Johan Bjorck, Fernando Castañeda, Nikita Cherniadev, Xingye Da, Runyu Ding, Linxi Fan, Yu Fang, Dieter Fox, Fengyuan Hu, Spencer Huang, et al · 2025
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Google’s gemini has beaten pokémon blue (with a little help)
Anthony Ha · 2025
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π 0.5 \pi_{0.5} : A vision-language-action model with open-world generalization
Physical Intelligence, Kevin Black, Noah Brown, James Darpinian, Karan Dhabalia, Danny Driess, Adnan Esmail, Michael Equi, Chelsea Finn, Niccolo Fusai, et al · 2025
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Fine-tuning vision-language-action models: Optimizing speed and success
Moo Jin Kim, Chelsea Finn, and Percy Liang · 2025
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Introducing openai codex, August 2021
OpenAI · 2025
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Fast: Efficient action tokenization for vision-language-action models
Karl Pertsch, Kyle Stachowicz, Brian Ichter, Danny Driess, Suraj Nair, Quan Vuong, Oier Mees, Chelsea Finn, and Sergey Levine · 2025
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Gemini robotics: Bringing ai into the physical world
Gemini Robotics Team, Saminda Abeyruwan, Joshua Ainslie, Jean-Baptiste Alayrac, Montserrat Gonzalez Arenas, Travis Armstrong, Ashwin Balakrishna, Robert Baruch, Maria Bauza, Michiel Blokzijl, et al · 2025
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Browsecomp: A simple yet challenging benchmark for browsing agents
Jason Wei, Zhiqing Sun, Spencer Papay, Scott McKinney, Jeffrey Han, Isa Fulford, Hyung Won Chung, Alex Tachard Passos, William Fedus, and Amelia Glaese · 2025
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