Fetching the paper…
Reading the bibliography…
Vision-Language-Action (VLA) models have enabled notable progress in general-purpose robotic manipulation, yet their learned policies often exhibit variable execution quality.
Better-than-demonstrator imitation learning via automatically-ranked demonstrations
Daniel S. Brown, Wonjoon Goo, and Scott Niekum · 2019
Earlier work this paper cites.
Vild: Variational imitation learning with diverse-quality demonstrations
Voot Tangkaratt, Bo Han, Mohammad Emtiyaz Khan, and Masashi Sugiyama · 2019
Earlier work this paper cites.
Conservative q-learning for offline reinforcement learning
Aviral Kumar, Aurick Zhou, George Tucker, and Sergey Levine · 2020
Earlier work this paper cites.
Offline learning from demonstrations and unlabeled experience
Konrad Zolna, Alexander Novikov, Ksenia Konyushkova, Caglar Gulcehre, Ziyu Wang, Yusuf Aytar, Misha Denil, Nando De Freitas, and Scott Reed · 2020
Earlier work this paper cites.
Offline reinforcement learning with implicit q-learning
Ilya Kostrikov, Ashvin Nair, and Sergey Levine · 2021
Earlier work this paper cites.
Learning to weight imperfect demonstrations
Yunke Wang, Chang Xu, Bo Du, and Honglak Lee · 2021
Earlier work this paper cites.
From play to policy: Conditional behavior generation from uncurated robot data
Zichen Jeff Cui, Yibin Wang, Nur Muhammad Mahi Shafiullah, and Lerrel Pinto · 2022
Earlier work this paper cites.
Flow matching for generative modeling
Yaron Lipman, Ricky T. Q. Chen, Heli Ben-Hamu, Maximilian Nickel, and Matt Le · 2022
Earlier work this paper cites.
Discriminator-weighted offline imitation learning from suboptimal demonstrations
Haoran Xu, Xianyuan Zhan, Honglei Yin, and Huiling Qin · 2022
Earlier work this paper cites.
Behavior retrieval: Few-shot imitation learning by querying unlabeled datasets
Maximilian Du, Suraj Nair, Dorsa Sadigh, and Chelsea Finn · 2023
Earlier work this paper cites.
Imitation learning from imperfection: Theoretical justifications and algorithms
Ziniu Li, Tian Xu, Zeyu Qin, Yang Yu, and Zhi-Quan Luo · 2023
Earlier work this paper cites.
Libero: Benchmarking knowledge transfer for lifelong robot learning
Bo Liu, Yifeng Zhu, Chongkai Gao, Yihao Feng, Qiang Liu, Yuke Zhu, and Peter Stone · 2023
Cited alongside, same era.
Cal-ql: Calibrated offline rl pre-training for efficient online fine-tuning
Mitsuhiko Nakamoto, Simon Zhai, Anikait Singh, Max Sobol Mark, Yi Ma, Chelsea Finn, Aviral Kumar, and Sergey Levine · 2023
Cited alongside, same era.
π 0 \pi_{0} : A vision-language-action flow model for general robot control, 2024
Kevin Black, Noah Brown, Danny Driess, Adnan Esmail, Michael Equi, Chelsea Finn, Niccolo Fusai, Lachy Groom, Karol Hausman, Brian Ichter, Szymon Jakubczak, Tim Jones, Liyiming Ke, Sergey Levine, Adrian Li-Bell, Mohith Mothukuri, Suraj Nair, Karl Pertsch, Lucy Xiaoyang Shi, James Tanner, Quan Vuong, Anna Walling, Haohuan Wang, and Ury Zhilinsky · 2024
Cited alongside, same era.
Evaluating real-world robot manipulation policies in simulation
Xuanlin Li, Kyle Hsu, Jiayuan Gu, Karl Pertsch, Oier Mees, Homer Rich Walke, Chuyuan Fu, Ishikaa Lunawat, Isabel Sieh, Sean Kirmani, et al · 2024
Cited alongside, same era.
Roboground: Robotic manipulation with grounded vision-language priors
Haifeng Huang, Xinyi Chen, Yilun Chen, Hao Li, Xiaoshen Han, Zehan Wang, Tai Wang, Jiangmiao Pang, and Zhou Zhao · 2025
Closest in time.
Eagle 2: Building post-training data strategies from scratch for frontier vision-language models
Zhiqi Li, Guo Chen, Shilong Liu, Shihao Wang, Vibashan VS, Yishen Ji, Shiyi Lan, Hao Zhang, Yilin Zhao, Subhashree Radhakrishnan, et al · 2025
Closest in time.
What can rl bring to vla generalization? an empirical study
Jijia Liu, Feng Gao, Bingwen Wei, Xinlei Chen, Qingmin Liao, Yi Wu, Chao Yu, and Yu Wang · 2025
Closest in time.
Vla-rl: Towards masterful and general robotic manipulation with scalable reinforcement learning
Guanxing Lu, Wenkai Guo, Chubin Zhang, Yuheng Zhou, Hao Jiang, Zifeng Gao, Yansong Tang, and Ziwei Wang · 2025
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Jianlan Luo, Charles Xu, Jeffrey Wu, and Sergey Levine · 2024
Cited alongside, same era.
Policy agnostic rl: Offline rl and online rl fine-tuning of any class and backbone
Max Sobol Mark, Tian Gao, Georgia Gabriela Sampaio, Mohan Kumar Srirama, Archit Sharma, Chelsea Finn, and Aviral Kumar · 2024
Cited alongside, same era.
Steering your generalists: Improving robotic foundation models via value guidance
Mitsuhiko Nakamoto, Oier Mees, Aviral Kumar, and Sergey Levine · 2024
Cited alongside, same era.
Diffusion policy policy optimization
Allen Z. Ren, Justin Lidard, Lars Ankile, Anthony Simeonov, Pulkit Agrawal, Anirudha Majumdar, Benjamin Burchfiel, Hongkai Dai, and Max Simchowitz · 2024
Cited alongside, same era.
Learning from imperfect demonstrations with self-supervision for robotic manipulation
Kun Wu, Ning Liu, Zhen Zhao, Di Qiu, Jinming Li, Zhengping Che, Zhiyuan Xu, Qinru Qiu, and Jian Tang · 2024
Cited alongside, same era.
Rldg: Robotic generalist policy distillation via reinforcement learning, 2024
Charles Xu, Qiyang Li, Jianlan Luo, and Sergey Levine · 2024
Cited alongside, same era.
Improving vision-language-action model with online reinforcement learning
Yanjiang Guo, Jianke Zhang, Xiaoyu Chen, Xiang Ji, Yen-Jen Wang, Yucheng Hu, and Jianyu Chen · 2025
Cited alongside, same era.
Vidbot: Learning generalizable 3d actions from in-the-wild 2d human videos for zero-shot robotic manipulation
Hanzhi Chen, Boyang Sun, Anran Zhang, Marc Pollefeys, and Stefan Leutenegger
Cited in the paper.
Andrés Marafioti, Orr Zohar, Miquel Farré, Merve Noyan, Elie Bakouch, Pedro Cuenca, Cyril Zakka, Loubna Ben Allal, Anton Lozhkov, Nouamane Tazi, Vaibhav Srivastav, Joshua Lochner, Hugo Larcher, Mathieu Morlon, Lewis Tunstall, Leandro von Werra, and Thomas Wolf · 2025
Closest in time.
Fedvla: Federated vision-language-action learning with dual gating mixture-of-experts for robotic manipulation
Cui Miao, Tao Chang, Meihan Wu, Hongbin Xu, Chun Li, Ming Li, and Xiaodong Wang · 2025
Closest in time.
Robotwin: Dual-arm robot benchmark with generative digital twins
Yao Mu, Tianxing Chen, Zanxin Chen, Shijia Peng, Zhiqian Lan, Zeyu Gao, Zhixuan Liang, Qiaojun Yu, Yude Zou, Mingkun Xu, Lunkai Lin, Zhiqiang Xie, Mingyu Ding, and Ping Luo · 2025
Closest in time.
Rftf: Reinforcement fine-tuning for embodied agents with temporal feedback
Junyang Shu, Zhiwei Lin, and Yongtao Wang · 2025
Closest in time.
Smolvla: A vision-language-action model for affordable and efficient robotics
Mustafa Shukor, Dana Aubakirova, Francesco Capuano, Pepijn Kooijmans, Steven Palma, Adil Zouitine, Michel Aractingi, Caroline Pascal, Martino Russi, Andrés Marafioti, Simon Alibert, Matthieu Cord, Thomas Wolf, and Rémi Cadène · 2025
Closest in time.
Interactive post-training for vision-language-action models
Shuhan Tan, Kairan Dou, Yue Zhao, and Philipp Krähenbühl · 2025
Closest in time.
Phoenix: A motion-based self-reflection framework for fine-grained robotic action correction
Wenke Xia, Ruoxuan Feng, Dong Wang, and Di Hu · 2025
Closest in time.